28 citations · 78 across the 16 of their papers we have counts for
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cs.LG2022★ 1 cited
Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning
Yizhou Zhang, Guannan Qu, Pan Xu +3
We study a multi-agent reinforcement learning (MARL) problem where the agents interact over a given network. The goal of the agents is to cooperatively maximize the average of thei…
cs.LG2022★ 1 cited
An Approximate Policy Iteration Viewpoint of Actor-Critic Algorithms
Zaiwei Chen, Siva Theja Maguluri
In this work, we consider policy-based methods for solving the reinforcement learning problem, and establish the sample complexity guarantees. A policy-based algorithm typically co…
cs.LG2022★ 2 cited
Target Network and Truncation Overcome The Deadly Triad in -Learning
Zaiwei Chen, John Paul Clarke, Siva Theja Maguluri
-learning with function approximation is one of the most empirically successful while theoretically mysterious reinforcement learning (RL) algorithms, and was identified in Sutt…