3 papers
cs.LG2026
Scalable Multiagent Reinforcement Learning with Collective Influence Estimation
Zhenglong Luo, Zhiyong Chen, Aoxiang Liu +1
Multiagent reinforcement learning (MARL) has attracted considerable attention due to its potential in addressing complex cooperative tasks. However, existing MARL approaches often…
cs.RO2026
Multiagent Reinforcement Learning with Neighbor Action Estimation
Zhenglong Luo, Zhiyong Chen, Aoxiang Liu
Multiagent reinforcement learning, as a prominent intelligent paradigm, enables collaborative decision-making within complex systems. However, existing approaches often rely on exp…
cs.LG2025
Mitigating Estimation Bias with Representation Learning in TD Error-Driven Regularization
Haohui Chen, Zhiyong Chen, Aoxiang Liu +1
Deterministic policy gradient algorithms for continuous control suffer from value estimation biases that degrade performance. While double critics reduce such biases, the explorati…