20 citations · 32 across the 3 of their papers we have counts for
3 papers
cs.MA2022★ 3 cited
Towards Global Optimality in Cooperative MARL with the Transformation And Distillation Framework
Jianing Ye, Chenghao Li, Yongqiang Dou +3
Decentralized execution is one core demand in multi-agent reinforcement learning (MARL). Recently, most popular MARL algorithms have adopted decentralized policies to enable decent…
cs.LG2021★ 20 cited
Generalizable Episodic Memory for Deep Reinforcement Learning
Hao Hu, Jianing Ye, Guangxiang Zhu +2
Episodic memory-based methods can rapidly latch onto past successful strategies by a non-parametric memory and improve sample efficiency of traditional reinforcement learning. Howe…
cs.LG2020★ 9 cited
Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization
Jianhao Wang, Zhizhou Ren, Beining Han +2
Value factorization is a popular and promising approach to scaling up multi-agent reinforcement learning in cooperative settings, which balances the learning scalability and the re…