YudengLin/memristorBDNN: Uncertainty quantification via a memristor Bayesian deep neural network for risk-sensitive reinforcement learning

This code repository is partly to support risk-sensitive reinforcement learning experiment in the manuscript "Uncertainty quantification via a memristor Bayesian deep neural network for risk-sensitive reinforcement learning" submitted to Nature Machine Intelligence.本代码仓库部分用于支撑提交至《自然·机器智能（Nature Machine Intelligence）》的稿件《基于忆阻贝叶斯深度神经网络的风险敏感强化学习不确定性量化》中的风险敏感强化学习实验。