Feudal Multi-Agent Hierarchies for Cooperative Reinforcement Learning. - Sanjeevan Ahilan; Peter Dayan (CoRR, 2019)

Learning to use past evidence in a sophisticated world model. - Sanjeevan Ahilan; Rebecca B. Solomon; Yannick-André Breton; Kent L. Conover; Ritwik K. Niyogi; Peter Shizgal; Peter Dayan (PLoS Comput. Biol., 2019)

SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving. - Ming Zhou 006; Jun Luo 009; Julian Villela; Yaodong Yang 002; David Rusu; Jiayu Miao; Weinan Zhang 001; Montgomery Alban; Iman Fadakar; Zheng Chen; Chongxi Huang; Ying Wen 001; et al. (CoRL, 2020)

SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving. - Ming Zhou 006; Jun Luo 009; Julian Villela; Yaodong Yang 002; David Rusu; Jiayu Miao; Weinan Zhang 001; Montgomery Alban; Iman Fadakar; Zheng Chen; Aurora Chongxi Huang; Ying Wen 001; et al. (CoRR, 2020)

Correcting experience replay for multi-agent communication. - Sanjeevan Ahilan; Peter Dayan (ICLR, 2021)

A Succinct Summary of Reinforcement Learning. - Sanjeevan Ahilan (CoRR, 2023)