3 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…
cs.LG2022
Building Decision Forest via Deep Reinforcement Learning
Guixuan Wen, Kaigui Wu
Ensemble learning methods whose base classifier is a decision tree usually belong to the bagging or boosting. However, no previous work has ever built the ensemble classifier by ma…