15 citations · 18 across the 3 of their papers we have counts for
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cs.AI2018
SCC-rFMQ Learning in Cooperative Markov Games with Continuous Actions
Chengwei Zhang, Xiaohong Li, Jianye Hao +5
Although many reinforcement learning methods have been proposed for learning the optimal solutions in single-agent continuous-action domains, multiagent coordination domains with c…
cs.AI2018
SA-IGA: A Multiagent Reinforcement Learning Method Towards Socially Optimal Outcomes
Chengwei Zhang, Xiaohong Li, Jianye Hao +3
In multiagent environments, the capability of learning is important for an agent to behave appropriately in face of unknown opponents and dynamic environment. From the system desig…