2 papers
cs.LG2022
A further exploration of deep Multi-Agent Reinforcement Learning with Hybrid Action Space
Hongzhi Hua, Guixuan Wen, Kaigui Wu
The research of extending deep reinforcement learning (drl) to multi-agent field has solved many complicated problems and made great achievements. However, almost all these studies…
cs.LG2022
Deep Multi-Agent Reinforcement Learning with Hybrid Action Spaces based on Maximum Entropy
Hongzhi Hua, Kaigui Wu, Guixuan Wen
Multi-agent deep reinforcement learning has been applied to address a variety of complex problems with either discrete or continuous action spaces and achieved great success. Howev…