35 citations · 62 across the 7 of their papers we have counts for
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math.OC2022★ 3 cited
Convergence and sample complexity of natural policy gradient primal-dual methods for constrained MDPs
Dongsheng Ding, Kaiqing Zhang, Jiali Duan +2
We study the sequential decision making problem of maximizing the expected total reward while satisfying a constraint on the expected total utility. We employ the natural policy gr…
cs.LG2022★ 7 cited
Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence
Dongsheng Ding, Chen-Yu Wei, Kaiqing Zhang +1
We examine global non-asymptotic convergence properties of policy gradient methods for multi-agent reinforcement learning (RL) problems in Markov potential games (MPG). To learn a…