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20192023
most citedReinforcement Learning Ship Autopilot: Sample efficient and Model Predictive Control-based Approach

7 citations · 8 across the 4 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

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…