Update README.md

README.md

@@ -1,3 +1,95 @@
----
-license: bsd-3-clause
----
+---
+license: bsd-3-clause
+---
+---
+license: bsd-3-clause
+tags:
+- Hopper-v2
+- reinforcement-learning
+- Soft Actor Critic
+- SRL
+- deep-reinforcement-learning
+model-index:
+- name: SAC
+  results:
+  - metrics:
+    - type: FAS (J=1)
+      value: 0.050304 ± 0.020365
+      name: FAS
+    - type: FAS (J=2)
+      value: 0.092501 ± 0.010512
+      name: FAS
+    - type: FAS (J=4)
+      value: 0.135757 ± 0.030884
+      name: FAS
+    - type: FAS (J=8)
+      value: 0.141675 ± 0.038575
+      name: FAS
+    - type: FAS (J=16)
+      value: 0.263203 ± 0.079994
+      name: FAS
+    task:
+      type: OpenAI Gym
+      name: OpenAI Gym
+    dataset:
+      name: Hopper-v2
+      type: Hopper-v2
+  Paper: https://arxiv.org/pdf/2410.08979
+  Code: https://github.com/dee0512/Sequence-Reinforcement-Learning
+---
+# Soft-Actor-Critic: Pendulum-v1
+
+These are 25 trained models over **seeds (0-4)**  and **J = 1, 2, 4, 8, 16** of **Soft actor critic** agent playing **Hopper-v2** for **[Sequence Reinforcement Learning (SRL)](https://github.com/dee0512/Sequence-Reinforcement-Learning)**.
+
+## Model Sources
+
+**Repository:** [https://github.com/dee0512/Sequence-Reinforcement-Learning](https://github.com/dee0512/Sequence-Reinforcement-Learning)  
+**Paper (ICLR):** [https://openreview.net/forum?id=w3iM4WLuvy](https://openreview.net/forum?id=w3iM4WLuvy)  
+**Arxiv:** [arxiv.org/pdf/2410.08979](https://arxiv.org/pdf/2410.08979)
+
+# Training Details:
+Using the repository:
+
+```
+python .\train_sac.py --env_name <env_name> --seed <seed> --j <j>
+```
+
+# Evaluation:
+
+Download the models folder and place it in the same directory as the cloned repository. 
+Using the repository:
+
+```
+python .\eval_sac.py --env_name <env_name> --seed <seed> --j <j>
+```
+
+## Metrics:
+
+**FAS:** Frequency Averaged Score  
+**j:** Action repetition parameter
+
+
+# Citation
+
+The paper can be cited with the following bibtex entry:
+
+## BibTeX:
+
+```
+@inproceedings{DBLP:conf/iclr/PatelS25,
+  author       = {Devdhar Patel and
+                  Hava T. Siegelmann},
+  title        = {Overcoming Slow Decision Frequencies in Continuous Control: Model-Based
+                  Sequence Reinforcement Learning for Model-Free Control},
+  booktitle    = {The Thirteenth International Conference on Learning Representations,
+                  {ICLR} 2025, Singapore, April 24-28, 2025},
+  publisher    = {OpenReview.net},
+  year         = {2025},
+  url          = {https://openreview.net/forum?id=w3iM4WLuvy}
+}
+```
+
+## APA:
+```
+Patel, D., & Siegelmann, H. T. Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control. In The Thirteenth International Conference on Learning Representations.
+```