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README.md

@@ -9,7 +9,7 @@ model-index:
   results:
   - metrics:
     - type: mean_reward
-      value: -4.62 +/- 0.69
+      value: 9.63 +/- 10.81
       name: mean_reward
     task:
       type: reinforcement-learning

hyperparameters.json

@@ -1 +1 @@
-{"env_id": "Pixelcopter-PLE-v0", "h_size": 82, "gamma": 0.9244321379342584, "lr": 0.0014277900410510126, "n_layer": 3}
+{"env_id": "Pixelcopter-PLE-v0", "h_size": 14, "gamma": 0.9932669390880101, "lr": 0.0005445051768410958, "n_layer": 3}

model.pt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8a08cda4584beb7a943f934fcc80ef7f2057da804dd4eeda9501440f28e1c8af
-size 61691
+oid sha256:8a626a6e1aec1b18ca3476bc36a0c00f831e502463e09039c77bea6c5bf25c20
+size 6075

results.json

@@ -1 +1 @@
-{"env_id": "Pixelcopter-PLE-v0", "mean_reward": -4.62, "n_evaluation_episodes": 1000, "eval_datetime": "2023-07-09T20:51:31.538481"}
+{"env_id": "Pixelcopter-PLE-v0", "mean_reward": 9.63, "n_evaluation_episodes": 1000, "eval_datetime": "2023-07-10T08:28:08.420063"}