gnscc commited on
Commit
4aa6edd
·
verified ·
1 Parent(s): b9574b6

First Push

Browse files
README.md ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: ml-agents
3
+ tags:
4
+ - SoccerTwos
5
+ - deep-reinforcement-learning
6
+ - reinforcement-learning
7
+ - ML-Agents-SoccerTwos
8
+ ---
9
+
10
+ # **poca** Agent playing **SoccerTwos**
11
+ This is a trained model of a **poca** agent playing **SoccerTwos**
12
+ using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
13
+
14
+ ## Usage (with ML-Agents)
15
+ The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
16
+
17
+ We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
18
+ - A *short tutorial* where you teach Huggy the Dog 🐶 to fetch the stick and then play with him directly in your
19
+ browser: https://huggingface.co/learn/deep-rl-course/unitbonus1/introduction
20
+ - A *longer tutorial* to understand how works ML-Agents:
21
+ https://huggingface.co/learn/deep-rl-course/unit5/introduction
22
+
23
+ ### Resume the training
24
+ ```bash
25
+ mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume
26
+ ```
27
+
28
+ ### Watch your Agent play
29
+ You can watch your agent **playing directly in your browser**
30
+
31
+ 1. If the environment is part of ML-Agents official environments, go to https://huggingface.co/unity
32
+ 2. Step 1: Find your model_id: gnscc/deep-rl-hf-course-7
33
+ 3. Step 2: Select your *.nn /*.onnx file
34
+ 4. Click on Watch the agent play 👀
35
+
SoccerTwos.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4788f67063d5fceaef17f2c141d8c484565078c51584d85b6028b61ac56a5c3b
3
+ size 1768747
SoccerTwos/SoccerTwos-400634.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4788f67063d5fceaef17f2c141d8c484565078c51584d85b6028b61ac56a5c3b
3
+ size 1768747
SoccerTwos/SoccerTwos-400634.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4cdbae1d1eea64b0a0ff2dcd2529321e50f7bf717232f85b04ed42b4126adc43
3
+ size 28432379
SoccerTwos/checkpoint.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c8194ae6e821f9ee6aa83518daf8c1049b7d5e8bf11760d0ba693c9052b20f9e
3
+ size 28431497
SoccerTwos/events.out.tfevents.1754608376.f2d8dc5958fd.61235.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7c16dce9a359df77fa4b2afd63745a354e7cb6c876c4bbd303fab1b5b7a47c0a
3
+ size 215536
config.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"default_settings": null, "behaviors": {"SoccerTwos": {"trainer_type": "poca", "hyperparameters": {"batch_size": 2048, "buffer_size": 20480, "learning_rate": 0.0003, "beta": 0.005, "epsilon": 0.2, "lambd": 0.95, "num_epoch": 3, "learning_rate_schedule": "constant", "beta_schedule": "constant", "epsilon_schedule": "constant"}, "checkpoint_interval": 500000, "network_settings": {"normalize": false, "hidden_units": 512, "num_layers": 2, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}, "reward_signals": {"extrinsic": {"gamma": 0.99, "strength": 1.0, "network_settings": {"normalize": false, "hidden_units": 128, "num_layers": 2, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}}}, "init_path": null, "keep_checkpoints": 5, "even_checkpoints": false, "max_steps": 400000, "time_horizon": 1000, "summary_freq": 10000, "threaded": false, "self_play": {"save_steps": 50000, "team_change": 200000, "swap_steps": 2000, "window": 10, "play_against_latest_model_ratio": 0.5, "initial_elo": 1200.0}, "behavioral_cloning": null}}, "env_settings": {"env_path": "./ml-agents/training-envs-executables/linux/SoccerTwos/SoccerTwos.x86_64", "env_args": null, "base_port": 5005, "num_envs": 1, "num_areas": 1, "timeout_wait": 60, "seed": -1, "max_lifetime_restarts": 10, "restarts_rate_limit_n": 1, "restarts_rate_limit_period_s": 60}, "engine_settings": {"width": 84, "height": 84, "quality_level": 5, "time_scale": 20, "target_frame_rate": -1, "capture_frame_rate": 60, "no_graphics": true, "no_graphics_monitor": false}, "environment_parameters": null, "checkpoint_settings": {"run_id": "v1", "initialize_from": null, "load_model": false, "resume": false, "force": false, "train_model": false, "inference": false, "results_dir": "results"}, "torch_settings": {"device": "cuda"}, "debug": false}
configuration.yaml ADDED
@@ -0,0 +1,84 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ default_settings: null
2
+ behaviors:
3
+ SoccerTwos:
4
+ trainer_type: poca
5
+ hyperparameters:
6
+ batch_size: 2048
7
+ buffer_size: 20480
8
+ learning_rate: 0.0003
9
+ beta: 0.005
10
+ epsilon: 0.2
11
+ lambd: 0.95
12
+ num_epoch: 3
13
+ learning_rate_schedule: constant
14
+ beta_schedule: constant
15
+ epsilon_schedule: constant
16
+ checkpoint_interval: 500000
17
+ network_settings:
18
+ normalize: false
19
+ hidden_units: 512
20
+ num_layers: 2
21
+ vis_encode_type: simple
22
+ memory: null
23
+ goal_conditioning_type: hyper
24
+ deterministic: false
25
+ reward_signals:
26
+ extrinsic:
27
+ gamma: 0.99
28
+ strength: 1.0
29
+ network_settings:
30
+ normalize: false
31
+ hidden_units: 128
32
+ num_layers: 2
33
+ vis_encode_type: simple
34
+ memory: null
35
+ goal_conditioning_type: hyper
36
+ deterministic: false
37
+ init_path: null
38
+ keep_checkpoints: 5
39
+ even_checkpoints: false
40
+ max_steps: 400000
41
+ time_horizon: 1000
42
+ summary_freq: 10000
43
+ threaded: false
44
+ self_play:
45
+ save_steps: 50000
46
+ team_change: 200000
47
+ swap_steps: 2000
48
+ window: 10
49
+ play_against_latest_model_ratio: 0.5
50
+ initial_elo: 1200.0
51
+ behavioral_cloning: null
52
+ env_settings:
53
+ env_path: ./ml-agents/training-envs-executables/linux/SoccerTwos/SoccerTwos.x86_64
54
+ env_args: null
55
+ base_port: 5005
56
+ num_envs: 1
57
+ num_areas: 1
58
+ timeout_wait: 60
59
+ seed: -1
60
+ max_lifetime_restarts: 10
61
+ restarts_rate_limit_n: 1
62
+ restarts_rate_limit_period_s: 60
63
+ engine_settings:
64
+ width: 84
65
+ height: 84
66
+ quality_level: 5
67
+ time_scale: 20
68
+ target_frame_rate: -1
69
+ capture_frame_rate: 60
70
+ no_graphics: true
71
+ no_graphics_monitor: false
72
+ environment_parameters: null
73
+ checkpoint_settings:
74
+ run_id: v1
75
+ initialize_from: null
76
+ load_model: false
77
+ resume: false
78
+ force: false
79
+ train_model: false
80
+ inference: false
81
+ results_dir: results
82
+ torch_settings:
83
+ device: cuda
84
+ debug: false
run_logs/Player-0.log ADDED
@@ -0,0 +1,475 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Mono path[0] = '/app/ml-agents/training-envs-executables/linux/SoccerTwos/SoccerTwos_Data/Managed'
2
+ Mono config path = '/app/ml-agents/training-envs-executables/linux/SoccerTwos/SoccerTwos_Data/MonoBleedingEdge/etc'
3
+ Preloaded 'lib_burst_generated.so'
4
+ Preloaded 'libgrpc_csharp_ext.x64.so'
5
+ Initialize engine version: 2021.3.14f1 (eee1884e7226)
6
+ [Subsystems] Discovering subsystems at path /app/ml-agents/training-envs-executables/linux/SoccerTwos/SoccerTwos_Data/UnitySubsystems
7
+ Forcing GfxDevice: Null
8
+ GfxDevice: creating device client; threaded=0; jobified=0
9
+ NullGfxDevice:
10
+ Version: NULL 1.0 [1.0]
11
+ Renderer: Null Device
12
+ Vendor: Unity Technologies
13
+ FMOD initialized on nosound output
14
+ Begin MonoManager ReloadAssembly
15
+ - Completed reload, in 0.062 seconds
16
+ ERROR: Shader Sprites/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
17
+ ERROR: Shader Sprites/Mask shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
18
+ ERROR: Shader Legacy Shaders/VertexLit shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
19
+ WARNING: Shader Unsupported: 'Standard (Specular setup)' - All subshaders removed
20
+ WARNING: Shader Did you use #pragma only_renderers and omit this platform?
21
+ WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
22
+ ERROR: Shader Standard (Specular setup) shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
23
+ WARNING: Shader Unsupported: 'Standard (Specular setup)' - All subshaders removed
24
+ WARNING: Shader Did you use #pragma only_renderers and omit this platform?
25
+ WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
26
+ WARNING: Shader Unsupported: 'Autodesk Interactive' - All subshaders removed
27
+ WARNING: Shader Did you use #pragma only_renderers and omit this platform?
28
+ WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
29
+ ERROR: Shader Autodesk Interactive shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
30
+ WARNING: Shader Unsupported: 'Autodesk Interactive' - All subshaders removed
31
+ WARNING: Shader Did you use #pragma only_renderers and omit this platform?
32
+ WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
33
+ WARNING: Shader Unsupported: 'Standard' - All subshaders removed
34
+ WARNING: Shader Did you use #pragma only_renderers and omit this platform?
35
+ WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
36
+ ERROR: Shader Standard shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
37
+ WARNING: Shader Unsupported: 'Standard' - All subshaders removed
38
+ WARNING: Shader Did you use #pragma only_renderers and omit this platform?
39
+ WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
40
+ UnloadTime: 1.068119 ms
41
+ Registered Communicator in Agent.
42
+ ERROR: Shader UI/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
43
+ requesting resize 84 x 84
44
+ TOO LONG
45
+ TOO LONG
46
+ TOO LONG
47
+ TOO LONG
48
+ TOO LONG
49
+ TOO LONG
50
+ TOO LONG
51
+ TOO LONG
52
+ TOO LONG
53
+ TOO LONG
54
+ TOO LONG
55
+ TOO LONG
56
+ TOO LONG
57
+ TOO LONG
58
+ TOO LONG
59
+ TOO LONG
60
+ TOO LONG
61
+ TOO LONG
62
+ TOO LONG
63
+ TOO LONG
64
+ TOO LONG
65
+ TOO LONG
66
+ TOO LONG
67
+ TOO LONG
68
+ TOO LONG
69
+ TOO LONG
70
+ TOO LONG
71
+ TOO LONG
72
+ TOO LONG
73
+ TOO LONG
74
+ TOO LONG
75
+ TOO LONG
76
+ TOO LONG
77
+ TOO LONG
78
+ TOO LONG
79
+ TOO LONG
80
+ TOO LONG
81
+ TOO LONG
82
+ TOO LONG
83
+ TOO LONG
84
+ TOO LONG
85
+ TOO LONG
86
+ TOO LONG
87
+ TOO LONG
88
+ TOO LONG
89
+ TOO LONG
90
+ TOO LONG
91
+ TOO LONG
92
+ TOO LONG
93
+ TOO LONG
94
+ TOO LONG
95
+ TOO LONG
96
+ TOO LONG
97
+ TOO LONG
98
+ TOO LONG
99
+ TOO LONG
100
+ TOO LONG
101
+ TOO LONG
102
+ TOO LONG
103
+ TOO LONG
104
+ TOO LONG
105
+ TOO LONG
106
+ TOO LONG
107
+ TOO LONG
108
+ TOO LONG
109
+ TOO LONG
110
+ TOO LONG
111
+ TOO LONG
112
+ TOO LONG
113
+ TOO LONG
114
+ TOO LONG
115
+ TOO LONG
116
+ TOO LONG
117
+ TOO LONG
118
+ TOO LONG
119
+ TOO LONG
120
+ TOO LONG
121
+ TOO LONG
122
+ TOO LONG
123
+ TOO LONG
124
+ TOO LONG
125
+ TOO LONG
126
+ TOO LONG
127
+ TOO LONG
128
+ TOO LONG
129
+ TOO LONG
130
+ TOO LONG
131
+ TOO LONG
132
+ TOO LONG
133
+ TOO LONG
134
+ TOO LONG
135
+ TOO LONG
136
+ TOO LONG
137
+ TOO LONG
138
+ TOO LONG
139
+ TOO LONG
140
+ TOO LONG
141
+ TOO LONG
142
+ TOO LONG
143
+ TOO LONG
144
+ TOO LONG
145
+ TOO LONG
146
+ TOO LONG
147
+ TOO LONG
148
+ TOO LONG
149
+ TOO LONG
150
+ TOO LONG
151
+ TOO LONG
152
+ TOO LONG
153
+ TOO LONG
154
+ TOO LONG
155
+ TOO LONG
156
+ TOO LONG
157
+ TOO LONG
158
+ TOO LONG
159
+ TOO LONG
160
+ TOO LONG
161
+ TOO LONG
162
+ TOO LONG
163
+ TOO LONG
164
+ TOO LONG
165
+ TOO LONG
166
+ TOO LONG
167
+ TOO LONG
168
+ TOO LONG
169
+ TOO LONG
170
+ TOO LONG
171
+ TOO LONG
172
+ TOO LONG
173
+ TOO LONG
174
+ TOO LONG
175
+ TOO LONG
176
+ TOO LONG
177
+ TOO LONG
178
+ TOO LONG
179
+ TOO LONG
180
+ TOO LONG
181
+ TOO LONG
182
+ TOO LONG
183
+ TOO LONG
184
+ TOO LONG
185
+ TOO LONG
186
+ TOO LONG
187
+ TOO LONG
188
+ TOO LONG
189
+ TOO LONG
190
+ TOO LONG
191
+ TOO LONG
192
+ TOO LONG
193
+ TOO LONG
194
+ TOO LONG
195
+ TOO LONG
196
+ TOO LONG
197
+ TOO LONG
198
+ TOO LONG
199
+ TOO LONG
200
+ TOO LONG
201
+ TOO LONG
202
+ TOO LONG
203
+ TOO LONG
204
+ TOO LONG
205
+ TOO LONG
206
+ TOO LONG
207
+ TOO LONG
208
+ TOO LONG
209
+ TOO LONG
210
+ TOO LONG
211
+ TOO LONG
212
+ TOO LONG
213
+ TOO LONG
214
+ Setting up 6 worker threads for Enlighten.
215
+ Memory Statistics:
216
+ [ALLOC_TEMP_TLS] TLS Allocator
217
+ StackAllocators :
218
+ [ALLOC_TEMP_MAIN]
219
+ Peak usage frame count: [8.0 KB-16.0 KB]: 7774 frames, [2.0 MB-4.0 MB]: 1 frames
220
+ Initial Block Size 4.0 MB
221
+ Current Block Size 4.0 MB
222
+ Peak Allocated Bytes 2.1 MB
223
+ Overflow Count 0
224
+ [ALLOC_TEMP_Loading.AsyncRead]
225
+ Initial Block Size 64.0 KB
226
+ Current Block Size 64.0 KB
227
+ Peak Allocated Bytes 128 B
228
+ Overflow Count 0
229
+ [ALLOC_TEMP_Loading.PreloadManager]
230
+ Initial Block Size 256.0 KB
231
+ Current Block Size 300.0 KB
232
+ Peak Allocated Bytes 249.6 KB
233
+ Overflow Count 4
234
+ [ALLOC_TEMP_Background Job.Worker 8]
235
+ Initial Block Size 32.0 KB
236
+ Current Block Size 32.0 KB
237
+ Peak Allocated Bytes 0 B
238
+ Overflow Count 0
239
+ [ALLOC_TEMP_Job.Worker 6]
240
+ Initial Block Size 256.0 KB
241
+ Current Block Size 256.0 KB
242
+ Peak Allocated Bytes 0 B
243
+ Overflow Count 0
244
+ [ALLOC_TEMP_Job.Worker 0]
245
+ Initial Block Size 256.0 KB
246
+ Current Block Size 256.0 KB
247
+ Peak Allocated Bytes 0 B
248
+ Overflow Count 0
249
+ [ALLOC_TEMP_Background Job.Worker 10]
250
+ Initial Block Size 32.0 KB
251
+ Current Block Size 32.0 KB
252
+ Peak Allocated Bytes 0 B
253
+ Overflow Count 0
254
+ [ALLOC_TEMP_Background Job.Worker 9]
255
+ Initial Block Size 32.0 KB
256
+ Current Block Size 32.0 KB
257
+ Peak Allocated Bytes 0 B
258
+ Overflow Count 0
259
+ [ALLOC_TEMP_Job.Worker 5]
260
+ Initial Block Size 256.0 KB
261
+ Current Block Size 256.0 KB
262
+ Peak Allocated Bytes 0 B
263
+ Overflow Count 0
264
+ [ALLOC_TEMP_Background Job.Worker 14]
265
+ Initial Block Size 32.0 KB
266
+ Current Block Size 32.0 KB
267
+ Peak Allocated Bytes 0 B
268
+ Overflow Count 0
269
+ [ALLOC_TEMP_Background Job.Worker 6]
270
+ Initial Block Size 32.0 KB
271
+ Current Block Size 32.0 KB
272
+ Peak Allocated Bytes 0 B
273
+ Overflow Count 0
274
+ [ALLOC_TEMP_Job.Worker 4]
275
+ Initial Block Size 256.0 KB
276
+ Current Block Size 256.0 KB
277
+ Peak Allocated Bytes 0 B
278
+ Overflow Count 0
279
+ [ALLOC_TEMP_Job.Worker 3]
280
+ Initial Block Size 256.0 KB
281
+ Current Block Size 256.0 KB
282
+ Peak Allocated Bytes 0 B
283
+ Overflow Count 0
284
+ [ALLOC_TEMP_Background Job.Worker 12]
285
+ Initial Block Size 32.0 KB
286
+ Current Block Size 32.0 KB
287
+ Peak Allocated Bytes 0 B
288
+ Overflow Count 0
289
+ [ALLOC_TEMP_EnlightenWorker] x 6
290
+ Initial Block Size 64.0 KB
291
+ Current Block Size 64.0 KB
292
+ Peak Allocated Bytes 0 B
293
+ Overflow Count 0
294
+ [ALLOC_TEMP_Background Job.Worker 15]
295
+ Initial Block Size 32.0 KB
296
+ Current Block Size 32.0 KB
297
+ Peak Allocated Bytes 0 B
298
+ Overflow Count 0
299
+ [ALLOC_TEMP_Background Job.Worker 1]
300
+ Initial Block Size 32.0 KB
301
+ Current Block Size 32.0 KB
302
+ Peak Allocated Bytes 0 B
303
+ Overflow Count 0
304
+ [ALLOC_TEMP_Background Job.Worker 2]
305
+ Initial Block Size 32.0 KB
306
+ Current Block Size 32.0 KB
307
+ Peak Allocated Bytes 0 B
308
+ Overflow Count 0
309
+ [ALLOC_TEMP_Background Job.Worker 7]
310
+ Initial Block Size 32.0 KB
311
+ Current Block Size 32.0 KB
312
+ Peak Allocated Bytes 0 B
313
+ Overflow Count 0
314
+ [ALLOC_TEMP_AssetGarbageCollectorHelper] x 11
315
+ Initial Block Size 64.0 KB
316
+ Current Block Size 64.0 KB
317
+ Peak Allocated Bytes 0 B
318
+ Overflow Count 0
319
+ [ALLOC_TEMP_Background Job.Worker 5]
320
+ Initial Block Size 32.0 KB
321
+ Current Block Size 32.0 KB
322
+ Peak Allocated Bytes 0 B
323
+ Overflow Count 0
324
+ [ALLOC_TEMP_Job.Worker 9]
325
+ Initial Block Size 256.0 KB
326
+ Current Block Size 256.0 KB
327
+ Peak Allocated Bytes 0.7 KB
328
+ Overflow Count 0
329
+ [ALLOC_TEMP_Background Job.Worker 13]
330
+ Initial Block Size 32.0 KB
331
+ Current Block Size 32.0 KB
332
+ Peak Allocated Bytes 0 B
333
+ Overflow Count 0
334
+ [ALLOC_TEMP_Job.Worker 8]
335
+ Initial Block Size 256.0 KB
336
+ Current Block Size 256.0 KB
337
+ Peak Allocated Bytes 0 B
338
+ Overflow Count 0
339
+ [ALLOC_TEMP_Job.Worker 7]
340
+ Initial Block Size 256.0 KB
341
+ Current Block Size 256.0 KB
342
+ Peak Allocated Bytes 0 B
343
+ Overflow Count 0
344
+ [ALLOC_TEMP_Job.Worker 1]
345
+ Initial Block Size 256.0 KB
346
+ Current Block Size 256.0 KB
347
+ Peak Allocated Bytes 0 B
348
+ Overflow Count 0
349
+ [ALLOC_TEMP_Job.Worker 2]
350
+ Initial Block Size 256.0 KB
351
+ Current Block Size 256.0 KB
352
+ Peak Allocated Bytes 0 B
353
+ Overflow Count 0
354
+ [ALLOC_TEMP_Background Job.Worker 3]
355
+ Initial Block Size 32.0 KB
356
+ Current Block Size 32.0 KB
357
+ Peak Allocated Bytes 0 B
358
+ Overflow Count 0
359
+ [ALLOC_TEMP_Background Job.Worker 11]
360
+ Initial Block Size 32.0 KB
361
+ Current Block Size 32.0 KB
362
+ Peak Allocated Bytes 0 B
363
+ Overflow Count 0
364
+ [ALLOC_TEMP_Job.Worker 10]
365
+ Initial Block Size 256.0 KB
366
+ Current Block Size 256.0 KB
367
+ Peak Allocated Bytes 0 B
368
+ Overflow Count 0
369
+ [ALLOC_TEMP_Background Job.Worker 0]
370
+ Initial Block Size 32.0 KB
371
+ Current Block Size 32.0 KB
372
+ Peak Allocated Bytes 0 B
373
+ Overflow Count 0
374
+ [ALLOC_TEMP_Background Job.Worker 4]
375
+ Initial Block Size 32.0 KB
376
+ Current Block Size 32.0 KB
377
+ Peak Allocated Bytes 0 B
378
+ Overflow Count 0
379
+ [ALLOC_TEMP_BatchDeleteObjects]
380
+ Initial Block Size 64.0 KB
381
+ Current Block Size 64.0 KB
382
+ Peak Allocated Bytes 0 B
383
+ Overflow Count 0
384
+ [ALLOC_DEFAULT] Dual Thread Allocator
385
+ Peak main deferred allocation count 4
386
+ [ALLOC_BUCKET]
387
+ Large Block size 4.0 MB
388
+ Used Block count 1
389
+ Peak Allocated bytes 1.0 MB
390
+ [ALLOC_DEFAULT_MAIN]
391
+ Peak usage frame count: [4.0 MB-8.0 MB]: 7775 frames
392
+ Requested Block Size 16.0 MB
393
+ Peak Block count 1
394
+ Peak Allocated memory 5.1 MB
395
+ Peak Large allocation bytes 0 B
396
+ [ALLOC_DEFAULT_THREAD]
397
+ Peak usage frame count: [16.0 MB-32.0 MB]: 7775 frames
398
+ Requested Block Size 16.0 MB
399
+ Peak Block count 1
400
+ Peak Allocated memory 17.2 MB
401
+ Peak Large allocation bytes 16.0 MB
402
+ [ALLOC_TEMP_JOB_1_FRAME]
403
+ Initial Block Size 2.0 MB
404
+ Used Block Count 1
405
+ Overflow Count (too large) 0
406
+ Overflow Count (full) 0
407
+ [ALLOC_TEMP_JOB_2_FRAMES]
408
+ Initial Block Size 2.0 MB
409
+ Used Block Count 1
410
+ Overflow Count (too large) 0
411
+ Overflow Count (full) 0
412
+ [ALLOC_TEMP_JOB_4_FRAMES (JobTemp)]
413
+ Initial Block Size 2.0 MB
414
+ Used Block Count 2
415
+ Overflow Count (too large) 0
416
+ Overflow Count (full) 0
417
+ [ALLOC_TEMP_JOB_ASYNC (Background)]
418
+ Initial Block Size 1.0 MB
419
+ Used Block Count 3
420
+ Overflow Count (too large) 0
421
+ Overflow Count (full) 0
422
+ [ALLOC_GFX] Dual Thread Allocator
423
+ Peak main deferred allocation count 0
424
+ [ALLOC_BUCKET]
425
+ Large Block size 4.0 MB
426
+ Used Block count 1
427
+ Peak Allocated bytes 1.0 MB
428
+ [ALLOC_GFX_MAIN]
429
+ Peak usage frame count: [32.0 KB-64.0 KB]: 7774 frames, [64.0 KB-128.0 KB]: 1 frames
430
+ Requested Block Size 16.0 MB
431
+ Peak Block count 1
432
+ Peak Allocated memory 65.6 KB
433
+ Peak Large allocation bytes 0 B
434
+ [ALLOC_GFX_THREAD]
435
+ Peak usage frame count: [128.0 KB-256.0 KB]: 7775 frames
436
+ Requested Block Size 16.0 MB
437
+ Peak Block count 1
438
+ Peak Allocated memory 173.5 KB
439
+ Peak Large allocation bytes 0 B
440
+ [ALLOC_CACHEOBJECTS] Dual Thread Allocator
441
+ Peak main deferred allocation count 0
442
+ [ALLOC_BUCKET]
443
+ Large Block size 4.0 MB
444
+ Used Block count 1
445
+ Peak Allocated bytes 1.0 MB
446
+ [ALLOC_CACHEOBJECTS_MAIN]
447
+ Peak usage frame count: [0.5 MB-1.0 MB]: 7775 frames
448
+ Requested Block Size 4.0 MB
449
+ Peak Block count 1
450
+ Peak Allocated memory 0.6 MB
451
+ Peak Large allocation bytes 0 B
452
+ [ALLOC_CACHEOBJECTS_THREAD]
453
+ Peak usage frame count: [0.5 MB-1.0 MB]: 7774 frames, [4.0 MB-8.0 MB]: 1 frames
454
+ Requested Block Size 4.0 MB
455
+ Peak Block count 2
456
+ Peak Allocated memory 4.5 MB
457
+ Peak Large allocation bytes 0 B
458
+ [ALLOC_TYPETREE] Dual Thread Allocator
459
+ Peak main deferred allocation count 0
460
+ [ALLOC_BUCKET]
461
+ Large Block size 4.0 MB
462
+ Used Block count 1
463
+ Peak Allocated bytes 1.0 MB
464
+ [ALLOC_TYPETREE_MAIN]
465
+ Peak usage frame count: [0-1.0 KB]: 7775 frames
466
+ Requested Block Size 2.0 MB
467
+ Peak Block count 1
468
+ Peak Allocated memory 1.0 KB
469
+ Peak Large allocation bytes 0 B
470
+ [ALLOC_TYPETREE_THREAD]
471
+ Peak usage frame count: [1.0 KB-2.0 KB]: 7774 frames, [2.0 KB-4.0 KB]: 1 frames
472
+ Requested Block Size 2.0 MB
473
+ Peak Block count 1
474
+ Peak Allocated memory 2.2 KB
475
+ Peak Large allocation bytes 0 B
run_logs/timers.json ADDED
@@ -0,0 +1,417 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "name": "root",
3
+ "gauges": {
4
+ "SoccerTwos.Policy.Entropy.mean": {
5
+ "value": 3.2211482524871826,
6
+ "min": 3.195749521255493,
7
+ "max": 3.295685052871704,
8
+ "count": 40
9
+ },
10
+ "SoccerTwos.Policy.Entropy.sum": {
11
+ "value": 50198.375,
12
+ "min": 30867.62109375,
13
+ "max": 117971.984375,
14
+ "count": 40
15
+ },
16
+ "SoccerTwos.Environment.EpisodeLength.mean": {
17
+ "value": 965.0,
18
+ "min": 597.8888888888889,
19
+ "max": 999.0,
20
+ "count": 40
21
+ },
22
+ "SoccerTwos.Environment.EpisodeLength.sum": {
23
+ "value": 19300.0,
24
+ "min": 16672.0,
25
+ "max": 23960.0,
26
+ "count": 40
27
+ },
28
+ "SoccerTwos.Self-play.ELO.mean": {
29
+ "value": 1196.4680528697595,
30
+ "min": 1193.1496398993102,
31
+ "max": 1201.1506626544647,
32
+ "count": 29
33
+ },
34
+ "SoccerTwos.Self-play.ELO.sum": {
35
+ "value": 2392.936105739519,
36
+ "min": 2387.8356768650924,
37
+ "max": 14413.760388164163,
38
+ "count": 29
39
+ },
40
+ "SoccerTwos.Step.mean": {
41
+ "value": 399634.0,
42
+ "min": 9998.0,
43
+ "max": 399634.0,
44
+ "count": 40
45
+ },
46
+ "SoccerTwos.Step.sum": {
47
+ "value": 399634.0,
48
+ "min": 9998.0,
49
+ "max": 399634.0,
50
+ "count": 40
51
+ },
52
+ "SoccerTwos.Policy.ExtrinsicBaselineEstimate.mean": {
53
+ "value": 0.0056941029615700245,
54
+ "min": -0.009242162108421326,
55
+ "max": 0.06835268437862396,
56
+ "count": 40
57
+ },
58
+ "SoccerTwos.Policy.ExtrinsicBaselineEstimate.sum": {
59
+ "value": 0.05694102868437767,
60
+ "min": -0.12014810740947723,
61
+ "max": 1.0936429500579834,
62
+ "count": 40
63
+ },
64
+ "SoccerTwos.Policy.ExtrinsicValueEstimate.mean": {
65
+ "value": 0.0070253172889351845,
66
+ "min": -0.009543215855956078,
67
+ "max": 0.06838585436344147,
68
+ "count": 40
69
+ },
70
+ "SoccerTwos.Policy.ExtrinsicValueEstimate.sum": {
71
+ "value": 0.0702531710267067,
72
+ "min": -0.12406180799007416,
73
+ "max": 1.0941736698150635,
74
+ "count": 40
75
+ },
76
+ "SoccerTwos.Environment.CumulativeReward.mean": {
77
+ "value": 0.0,
78
+ "min": 0.0,
79
+ "max": 0.0,
80
+ "count": 40
81
+ },
82
+ "SoccerTwos.Environment.CumulativeReward.sum": {
83
+ "value": 0.0,
84
+ "min": 0.0,
85
+ "max": 0.0,
86
+ "count": 40
87
+ },
88
+ "SoccerTwos.Policy.ExtrinsicReward.mean": {
89
+ "value": -0.2,
90
+ "min": -0.5344307692005084,
91
+ "max": 0.2008999983469645,
92
+ "count": 40
93
+ },
94
+ "SoccerTwos.Policy.ExtrinsicReward.sum": {
95
+ "value": -2.0,
96
+ "min": -6.947599999606609,
97
+ "max": 2.410799980163574,
98
+ "count": 40
99
+ },
100
+ "SoccerTwos.Environment.GroupCumulativeReward.mean": {
101
+ "value": -0.2,
102
+ "min": -0.5344307692005084,
103
+ "max": 0.2008999983469645,
104
+ "count": 40
105
+ },
106
+ "SoccerTwos.Environment.GroupCumulativeReward.sum": {
107
+ "value": -2.0,
108
+ "min": -6.947599999606609,
109
+ "max": 2.410799980163574,
110
+ "count": 40
111
+ },
112
+ "SoccerTwos.IsTraining.mean": {
113
+ "value": 1.0,
114
+ "min": 1.0,
115
+ "max": 1.0,
116
+ "count": 40
117
+ },
118
+ "SoccerTwos.IsTraining.sum": {
119
+ "value": 1.0,
120
+ "min": 1.0,
121
+ "max": 1.0,
122
+ "count": 40
123
+ },
124
+ "SoccerTwos.Losses.PolicyLoss.mean": {
125
+ "value": 0.02015192844264675,
126
+ "min": 0.012508710820475244,
127
+ "max": 0.022126704341887186,
128
+ "count": 18
129
+ },
130
+ "SoccerTwos.Losses.PolicyLoss.sum": {
131
+ "value": 0.02015192844264675,
132
+ "min": 0.012508710820475244,
133
+ "max": 0.022126704341887186,
134
+ "count": 18
135
+ },
136
+ "SoccerTwos.Losses.ValueLoss.mean": {
137
+ "value": 0.0010533753636991605,
138
+ "min": 1.0957494377331992e-06,
139
+ "max": 0.0048808099779610835,
140
+ "count": 18
141
+ },
142
+ "SoccerTwos.Losses.ValueLoss.sum": {
143
+ "value": 0.0010533753636991605,
144
+ "min": 1.0957494377331992e-06,
145
+ "max": 0.0048808099779610835,
146
+ "count": 18
147
+ },
148
+ "SoccerTwos.Losses.BaselineLoss.mean": {
149
+ "value": 0.0010542878257789805,
150
+ "min": 1.1678809812565305e-06,
151
+ "max": 0.004401720912816624,
152
+ "count": 18
153
+ },
154
+ "SoccerTwos.Losses.BaselineLoss.sum": {
155
+ "value": 0.0010542878257789805,
156
+ "min": 1.1678809812565305e-06,
157
+ "max": 0.004401720912816624,
158
+ "count": 18
159
+ },
160
+ "SoccerTwos.Policy.LearningRate.mean": {
161
+ "value": 0.0003,
162
+ "min": 0.0003,
163
+ "max": 0.0003,
164
+ "count": 18
165
+ },
166
+ "SoccerTwos.Policy.LearningRate.sum": {
167
+ "value": 0.0003,
168
+ "min": 0.0003,
169
+ "max": 0.0003,
170
+ "count": 18
171
+ },
172
+ "SoccerTwos.Policy.Epsilon.mean": {
173
+ "value": 0.20000000000000007,
174
+ "min": 0.20000000000000007,
175
+ "max": 0.20000000000000007,
176
+ "count": 18
177
+ },
178
+ "SoccerTwos.Policy.Epsilon.sum": {
179
+ "value": 0.20000000000000007,
180
+ "min": 0.20000000000000007,
181
+ "max": 0.20000000000000007,
182
+ "count": 18
183
+ },
184
+ "SoccerTwos.Policy.Beta.mean": {
185
+ "value": 0.005000000000000001,
186
+ "min": 0.005000000000000001,
187
+ "max": 0.005000000000000001,
188
+ "count": 18
189
+ },
190
+ "SoccerTwos.Policy.Beta.sum": {
191
+ "value": 0.005000000000000001,
192
+ "min": 0.005000000000000001,
193
+ "max": 0.005000000000000001,
194
+ "count": 18
195
+ }
196
+ },
197
+ "metadata": {
198
+ "timer_format_version": "0.1.0",
199
+ "start_time_seconds": "1754608375",
200
+ "python_version": "3.10.12 (main, Aug 16 2023, 05:39:07) [GCC 12.2.0]",
201
+ "command_line_arguments": "/usr/local/bin/mlagents-learn ./config.yaml --env=./ml-agents/training-envs-executables/linux/SoccerTwos/SoccerTwos.x86_64 --run-id=v1 --no-graphics --torch-device cuda",
202
+ "mlagents_version": "1.2.0.dev0",
203
+ "mlagents_envs_version": "1.2.0.dev0",
204
+ "communication_protocol_version": "1.5.0",
205
+ "pytorch_version": "2.8.0+cu128",
206
+ "numpy_version": "1.23.5",
207
+ "end_time_seconds": "1754609184"
208
+ },
209
+ "total": 808.9028259360002,
210
+ "count": 1,
211
+ "self": 0.2705800450012248,
212
+ "children": {
213
+ "run_training.setup": {
214
+ "total": 0.023593178999362863,
215
+ "count": 1,
216
+ "self": 0.023593178999362863
217
+ },
218
+ "TrainerController.start_learning": {
219
+ "total": 808.6086527119996,
220
+ "count": 1,
221
+ "self": 0.7186139231089328,
222
+ "children": {
223
+ "TrainerController._reset_env": {
224
+ "total": 1.8769144010002492,
225
+ "count": 3,
226
+ "self": 1.8769144010002492
227
+ },
228
+ "TrainerController.advance": {
229
+ "total": 805.840094906891,
230
+ "count": 26083,
231
+ "self": 0.8179841279115863,
232
+ "children": {
233
+ "env_step": {
234
+ "total": 633.8877104909534,
235
+ "count": 26083,
236
+ "self": 434.01934909697957,
237
+ "children": {
238
+ "SubprocessEnvManager._take_step": {
239
+ "total": 199.39107729302668,
240
+ "count": 26083,
241
+ "self": 4.477042710994283,
242
+ "children": {
243
+ "TorchPolicy.evaluate": {
244
+ "total": 194.9140345820324,
245
+ "count": 51830,
246
+ "self": 194.9140345820324
247
+ }
248
+ }
249
+ },
250
+ "workers": {
251
+ "total": 0.4772841009471449,
252
+ "count": 26083,
253
+ "self": 0.0,
254
+ "children": {
255
+ "worker_root": {
256
+ "total": 807.1497085339797,
257
+ "count": 26083,
258
+ "is_parallel": true,
259
+ "self": 459.1540793210197,
260
+ "children": {
261
+ "run_training.setup": {
262
+ "total": 0.0,
263
+ "count": 0,
264
+ "is_parallel": true,
265
+ "self": 0.0,
266
+ "children": {
267
+ "steps_from_proto": {
268
+ "total": 0.0029408609998426982,
269
+ "count": 2,
270
+ "is_parallel": true,
271
+ "self": 0.0008773880008448032,
272
+ "children": {
273
+ "_process_rank_one_or_two_observation": {
274
+ "total": 0.002063472998997895,
275
+ "count": 8,
276
+ "is_parallel": true,
277
+ "self": 0.002063472998997895
278
+ }
279
+ }
280
+ },
281
+ "UnityEnvironment.step": {
282
+ "total": 0.03068715599965799,
283
+ "count": 1,
284
+ "is_parallel": true,
285
+ "self": 0.0005896209995626123,
286
+ "children": {
287
+ "UnityEnvironment._generate_step_input": {
288
+ "total": 0.00044898699979967205,
289
+ "count": 1,
290
+ "is_parallel": true,
291
+ "self": 0.00044898699979967205
292
+ },
293
+ "communicator.exchange": {
294
+ "total": 0.028030174000377883,
295
+ "count": 1,
296
+ "is_parallel": true,
297
+ "self": 0.028030174000377883
298
+ },
299
+ "steps_from_proto": {
300
+ "total": 0.0016183739999178215,
301
+ "count": 2,
302
+ "is_parallel": true,
303
+ "self": 0.00031741600014356663,
304
+ "children": {
305
+ "_process_rank_one_or_two_observation": {
306
+ "total": 0.0013009579997742549,
307
+ "count": 8,
308
+ "is_parallel": true,
309
+ "self": 0.0013009579997742549
310
+ }
311
+ }
312
+ }
313
+ }
314
+ }
315
+ }
316
+ },
317
+ "UnityEnvironment.step": {
318
+ "total": 347.9937940079599,
319
+ "count": 26082,
320
+ "is_parallel": true,
321
+ "self": 18.450855936931475,
322
+ "children": {
323
+ "UnityEnvironment._generate_step_input": {
324
+ "total": 12.526383312005237,
325
+ "count": 26082,
326
+ "is_parallel": true,
327
+ "self": 12.526383312005237
328
+ },
329
+ "communicator.exchange": {
330
+ "total": 260.226070905961,
331
+ "count": 26082,
332
+ "is_parallel": true,
333
+ "self": 260.226070905961
334
+ },
335
+ "steps_from_proto": {
336
+ "total": 56.79048385306214,
337
+ "count": 52164,
338
+ "is_parallel": true,
339
+ "self": 12.085526441905131,
340
+ "children": {
341
+ "_process_rank_one_or_two_observation": {
342
+ "total": 44.70495741115701,
343
+ "count": 208656,
344
+ "is_parallel": true,
345
+ "self": 44.70495741115701
346
+ }
347
+ }
348
+ }
349
+ }
350
+ },
351
+ "steps_from_proto": {
352
+ "total": 0.0018352050001340103,
353
+ "count": 2,
354
+ "is_parallel": true,
355
+ "self": 0.0004245909995006514,
356
+ "children": {
357
+ "_process_rank_one_or_two_observation": {
358
+ "total": 0.001410614000633359,
359
+ "count": 8,
360
+ "is_parallel": true,
361
+ "self": 0.001410614000633359
362
+ }
363
+ }
364
+ }
365
+ }
366
+ }
367
+ }
368
+ }
369
+ }
370
+ },
371
+ "trainer_advance": {
372
+ "total": 171.13440028802597,
373
+ "count": 26083,
374
+ "self": 4.844106440037649,
375
+ "children": {
376
+ "process_trajectory": {
377
+ "total": 43.13152280198665,
378
+ "count": 26083,
379
+ "self": 43.13152280198665
380
+ },
381
+ "_update_policy": {
382
+ "total": 123.15877104600168,
383
+ "count": 18,
384
+ "self": 58.46227532299508,
385
+ "children": {
386
+ "TorchPOCAOptimizer.update": {
387
+ "total": 64.69649572300659,
388
+ "count": 540,
389
+ "self": 64.69649572300659
390
+ }
391
+ }
392
+ }
393
+ }
394
+ }
395
+ }
396
+ },
397
+ "trainer_threads": {
398
+ "total": 1.430999873264227e-06,
399
+ "count": 1,
400
+ "self": 1.430999873264227e-06
401
+ },
402
+ "TrainerController._save_models": {
403
+ "total": 0.17302804999962973,
404
+ "count": 1,
405
+ "self": 0.0009399219998158514,
406
+ "children": {
407
+ "RLTrainer._checkpoint": {
408
+ "total": 0.17208812799981388,
409
+ "count": 1,
410
+ "self": 0.17208812799981388
411
+ }
412
+ }
413
+ }
414
+ }
415
+ }
416
+ }
417
+ }
run_logs/training_status.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "SoccerTwos": {
3
+ "elo": 1196.2165837517484,
4
+ "checkpoints": [
5
+ {
6
+ "steps": 400634,
7
+ "file_path": "results/v1/SoccerTwos/SoccerTwos-400634.onnx",
8
+ "reward": 0.0,
9
+ "creation_time": 1754609184.374643,
10
+ "auxillary_file_paths": [
11
+ "results/v1/SoccerTwos/SoccerTwos-400634.pt"
12
+ ]
13
+ }
14
+ ],
15
+ "final_checkpoint": {
16
+ "steps": 400634,
17
+ "file_path": "results/v1/SoccerTwos.onnx",
18
+ "reward": 0.0,
19
+ "creation_time": 1754609184.374643,
20
+ "auxillary_file_paths": [
21
+ "results/v1/SoccerTwos/SoccerTwos-400634.pt"
22
+ ]
23
+ }
24
+ },
25
+ "metadata": {
26
+ "stats_format_version": "0.3.0",
27
+ "mlagents_version": "1.2.0.dev0",
28
+ "torch_version": "2.8.0+cu128"
29
+ }
30
+ }