Mitigating Estimation Errors by Twin TD-Regularized Actor and Critic for Deep Reinforcement Learning

Junmin Zhong, Ruofan Wu, Jennie Si

We address the issue of estimation bias in deep reinforcement learning (DRL) by introducing solution mechanisms that include a new, twin TD-regularized actor-critic (TDR) method. I…