3 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.MA2022★ 1 cited
Entropy Enhanced Multi-Agent Coordination Based on Hierarchical Graph Learning for Continuous Action Space
Yining Chen, Ke Wang, Guanghua Song +1
In most existing studies on large-scale multi-agent coordination, the control methods aim to learn discrete policies for agents with finite choices. They rarely consider selecting…
cs.LG2020★ 3 cited
Experience Augmentation: Boosting and Accelerating Off-Policy Multi-Agent Reinforcement Learning
Zhenhui Ye, Yining Chen, Guanghua Song +2
Exploration of the high-dimensional state action space is one of the biggest challenges in Reinforcement Learning (RL), especially in multi-agent domain. We present a novel techniq…