Renxing Li

Relative Entropy Regularized Sample Efficient Reinforcement Learning with Continuous Actions

2022

In this paper, a novel reinforcement learning (RL) approach, continuous dynamic policy programming (CDPP) is proposed to tackle the issues of both learning stability and sample efficiency in the current RL methods with continuous actions. …