DBCPI

This repository contains an implementation of the Density-Based Correlated Policy Iteration, the main algorithm in the paper "Learning Density-Based Correlated Equilibria for Markov Games" accepted by AAMAS 2023.

Name		Name	Last commit message	Last commit date
Environments		Environments
Functions		Functions
Result		Result
Visualization		Visualization
CaEParambalanceDBCE.npy		CaEParambalanceDBCE.npy
CaEbalanceDBCE.npy		CaEbalanceDBCE.npy
Central_Param_main.py		Central_Param_main.py
CheckFeasibility.py		CheckFeasibility.py
HuntMDCEDBCE.npy		HuntMDCEDBCE.npy
Huntvalue-10DBCE.npy		Huntvalue-10DBCE.npy
LP_main.py		LP_main.py
Param_main.py		Param_main.py
README.md		README.md
Rperesentation.py		Rperesentation.py
Update_log.txt		Update_log.txt
arguments.py		arguments.py
cp_LP_main.py		cp_LP_main.py
current_policy.npy		current_policy.npy
current_policy1.npy		current_policy1.npy
main_Traffic_lambdamu_value.py		main_Traffic_lambdamu_value.py
onedim_tran_mat.pkl		onedim_tran_mat.pkl
state_LP.py		state_LP.py
survive_all_states.npy		survive_all_states.npy

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