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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…