Xingguo Chen — accepted AI-conference papers

2025

Multi-Agent Reinforcement Learning with Communication-Constrained Priors

Guang Yang, Jingwen Qiao, Tianpei Yang, Yanqing Wu, Jing Huo, Xingguo Chen +1

NeurIPS 2025poster

Communication is one of the effective means to improve the learning of cooperative policy in multi-agent systems. However, in most real-world scenarios, lossy communication is a prevalent issue. Existing multi-agent reinforcement learning with communication, due to their limited scalability and robu…

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2023

Modified Retrace for Off-Policy Temporal Difference Learning

Xingguo Chen, Xingzhou Ma, Yang Li, Guang Yang, Shangdong Yang, Yang Gao

UAI 2023poster

Off-policy learning is a key to extend reinforcement learning as it allows to learn a target policy from a different behavior policy that generates the data. However, it is well known as “the deadly triad” when combined with bootstrapping and function approximation. Retrace is an efficient and con…

Cited by 4 Source ↗PDF ↗Scholar ↗