2 papers
eess.SY2023
Effective Multi-Agent Deep Reinforcement Learning Control with Relative Entropy Regularization
Chenyang Miao, Yunduan Cui, Huiyun Li +1
In this paper, a novel Multi-agent Reinforcement Learning (MARL) approach, Multi-Agent Continuous Dynamic Policy Gradient (MACDPP) was proposed to tackle the issues of limited capa…
eess.SY2023
Practical Probabilistic Model-based Deep Reinforcement Learning by Integrating Dropout Uncertainty and Trajectory Sampling
Wenjun Huang, Yunduan Cui, Huiyun Li +1
This paper addresses the prediction stability, prediction accuracy and control capability of the current probabilistic model-based reinforcement learning (MBRL) built on neural net…