Code for paper:
Keyang He, Bikramjit Banerjee, and Prashant Doshi. Cooperative-Competitive Reinforcement Learning with History-Dependent Rewards. In Proceedings of the 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021), pp. 602–610, 2021. https://sites.usm.edu/banerjee/papers/p602.pdf
Also part of paper:
Keyang He, Prashant Doshi, and Bikramjit Banerjee. Modeling and reinforcement learning in partially observable many-agent systems. In Autonomous Agents and Multi-Agent Systems, Vol. 38(12), Springer, 2024. https://rdcu.be/dCAeY
Actor-Critic network classes are in ac_nets.py. Code to test/use these classes are provided in a2c_test.py. IA2C code is in ia2c.py.
Install requirements using command pip install -r requirements.txt
Ensure all files are in the same Directory
Then run command python a2c_org_test.py