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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.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…
cs.LG2024
Double Actor-Critic with TD Error-Driven Regularization in Reinforcement Learning
Haohui Chen, Zhiyong Chen, Aoxiang Liu +1
To obtain better value estimation in reinforcement learning, we propose a novel algorithm based on the double actor-critic framework with temporal difference error-driven regulariz…