44 citations · 166 across the 27 of their papers we have counts for
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cs.LG2018★ 36 cited
Hierarchical Deep Multiagent Reinforcement Learning with Temporal Abstraction
Hongyao Tang, Jianye Hao, Tangjie Lv +8
Multiagent reinforcement learning (MARL) is commonly considered to suffer from non-stationary environments and exponentially increasing policy space. It would be even more challeng…
cs.MA2018★ 7 cited
Weighted Double Deep Multiagent Reinforcement Learning in Stochastic Cooperative Environments
Yan Zheng, Jianye Hao, Zongzhang Zhang
Recently, multiagent deep reinforcement learning (DRL) has received increasingly wide attention. Existing multiagent DRL algorithms are inefficient when facing with the non-station…