36 citations · 77 across the 14 of their papers we have counts for
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cs.LG2020★ 36 cited
Towards Understanding Asynchronous Advantage Actor-critic: Convergence and Linear Speedup
Han Shen, Kaiqing Zhang, Mingyi Hong +1
Asynchronous and parallel implementation of standard reinforcement learning (RL) algorithms is a key enabler of the tremendous success of modern RL. Among many asynchronous RL algo…
math.OC2020★ 22 cited
Byzantine-Resilient Decentralized TD Learning with Linear Function Approximation
Zhaoxian Wu, Han Shen, Tianyi Chen +1
This paper considers the policy evaluation problem in a multi-agent reinforcement learning (MARL) environment over decentralized and directed networks. The focus is on decentralize…
math.OC2020★ 8 cited
Adaptive Temporal Difference Learning with Linear Function Approximation
Tao Sun, Han Shen, Tianyi Chen +1
This paper revisits the temporal difference (TD) learning algorithm for the policy evaluation tasks in reinforcement learning. Typically, the performance of TD(0) and TD() is ve…