Sample Dropout: A Simple yet Effective Variance Reduction Technique in Deep Policy Optimization

1 code implementation • 5 Feb 2023 • Zichuan Lin, Xiapeng Wu, Mingfei Sun, Deheng Ye, Qiang Fu, Wei Yang, Wei Liu

Recent success in Deep Reinforcement Learning (DRL) methods has shown that policy optimization with respect to an off-policy distribution via importance sampling is effective for sample reuse.