3 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 1 cited
Soft Hierarchical Graph Recurrent Networks for Many-Agent Partially Observable Environments
Zhenhui Ye, Xiaohong Jiang, Guanghua Song +1
The recent progress in multi-agent deep reinforcement learning(MADRL) makes it more practical in real-world tasks, but its relatively poor scalability and the partially observable…
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…