bib-update

README.md

@@ -2,18 +2,31 @@
 
 This repository contains codes that are used for generating numerical results in the following paper: 
 
-W. U. Mondal, V. Aggarwal, and S. V. Ukkusuri, "On the Near-Optimality of Local Policies in Large Cooperative 
-Multi-Agent Reinforcement Learning", Transactions on Machine Learning Research, 2022.
+W. U. Mondal, V. Aggarwal, and S. V. Ukkusuri, "[On the Near-Optimality of Local Policies in Large Cooperative 
+Multi-Agent Reinforcement Learning]((https://openreview.net/pdf?id=t5HkgbxZp1))", Transactions on Machine Learning Research, 2022.
+
+
+```
+@article{
+mondal2022on,
+title={On the Near-Optimality of Local Policies in Large Cooperative Multi-Agent Reinforcement Learning},
+author={Washim Uddin Mondal and Vaneet Aggarwal and Satish Ukkusuri},
+journal={Transactions on Machine Learning Research},
+year={2022},
+url={https://openreview.net/forum?id=t5HkgbxZp1},
+note={}
+}
+```
 
 # Parameters
 
-Various parameters used in the experiments can be found in Scripts/Parameters.py file.
+Various parameters used in the experiments can be found in [Scripts/Parameters.py](https://github.itap.purdue.edu/Clan-labs/NearOptimalLocalPolicy/blob/main/Scripts/Parameters.py) file.
 
 # Results
 
 Generated results will be stored in Results folder (will be created on the fly).
-Some pre-generated results are available for display in the Display folder. Specifically,
-Fig. 1 depicts the percentage error between the values generated by local and non-local policies in an N-agent system
+Some pre-generated results are available for display in the [Display](https://github.itap.purdue.edu/Clan-labs/NearOptimalLocalPolicy/tree/main/Display) folder. Specifically,
+[Fig. 1a](https://github.itap.purdue.edu/Clan-labs/NearOptimalLocalPolicy/blob/main/Display/Fig1a.png) depicts the percentage error between the values generated by local and non-local policies in an N-agent system
 as a function of N.
 
 # Run Experiments