151 citations · 276 across the 14 of their papers we have counts for
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cs.LG2020★ 151 cited
QPLEX: Duplex Dueling Multi-Agent Q-Learning
Jianhao Wang, Zhizhou Ren, Terry Liu +2
We explore value-based multi-agent reinforcement learning (MARL) in the popular paradigm of centralized training with decentralized execution (CTDE). CTDE has an important concept,…
cs.AI2020★ 9 cited
MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration
Jin Zhang, Jianhao Wang, Hao Hu +4
Meta reinforcement learning (meta-RL) extracts knowledge from previous tasks and achieves fast adaptation to new tasks. Despite recent progress, efficient exploration in meta-RL re…
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…