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cs.MA2022★ 2 cited
Convergence and Price of Anarchy Guarantees of the Softmax Policy Gradient in Markov Potential Games
Dingyang Chen, Qi Zhang, Thinh T. Doan
We study the performance of policy gradient methods for the subclass of Markov games known as Markov potential games (MPGs), which extends the notion of normal-form potential games…
cs.MA2022★ 2 cited
Communication-Efficient Actor-Critic Methods for Homogeneous Markov Games
Dingyang Chen, Yile Li, Qi Zhang
Recent success in cooperative multi-agent reinforcement learning (MARL) relies on centralized training and policy sharing. Centralized training eliminates the issue of non-stationa…