263 citations · 737 across the 28 of their papers we have counts for
Showing 2017Show all
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cs.AI2017★ 4 cited
Learning to Design Games: Strategic Environments in Reinforcement Learning
Haifeng Zhang, Jun Wang, Zhiming Zhou +4
In typical reinforcement learning (RL), the environment is assumed given and the goal of the learning is to identify an optimal policy for the agent taking actions through its inte…
cs.AI2017★ 263 cited
Multiagent Bidirectionally-Coordinated Nets: Emergence of Human-level Coordination in Learning to Play StarCraft Combat Games
Peng Peng, Ying Wen, Yaodong Yang +4
Many artificial intelligence (AI) applications often require multiple intelligent agents to work in a collaborative effort. Efficient learning for intra-agent communication and coo…