Update README.md

README.md

@@ -36,17 +36,57 @@ model-index:
 ---
 # Soft-Actor-Critic: Walker2d-v2
 
-These are 25 trained models over **seeds (0-4)** and **J = 1, 2, 4, 8, 16** of a **Soft Actor Critic (SAC)** agent playing **Walker2d-v2** from **[Sequence Reinforcement Learning (SRL)](https://github.com/dee0512/Sequence-Reinforcement-Learning)**.
+These are 25 trained models over **seeds (0-4)**  and **J = 1, 2, 4, 8, 16** of **Soft actor critic** agent playing **Walker2d-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:** [https://arxiv.org/pdf/2410.08979](https://arxiv.org/pdf/2410.08979)
+**Arxiv:** [arxiv.org/pdf/2410.08979](https://arxiv.org/pdf/2410.08979)
 
-## Training Details
+# 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:
 
-```bash
-python ./train_sac.py --env_name Walker2d-v2 --seed <seed> --j <j>
+```
+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.
+```