28 citations · 37 across the 7 of their papers we have counts for
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cs.LG2022★ 2 cited
Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning
Ziluo Ding, Wanpeng Zhang, Junpeng Yue +3
We investigate the use of natural language to drive the generalization of policies in multi-agent settings. Unlike single-agent settings, the generalization of policies should also…
cs.LG2022★ 2 cited
WILD-SCAV: Benchmarking FPS Gaming AI on Unity3D-based Environments
Xi Chen, Tianyu Shi, Qingpeng Zhao +3
Recent advances in deep reinforcement learning (RL) have demonstrated complex decision-making capabilities in simulation environments such as Arcade Learning Environment, MuJoCo, a…
cs.LG2022★ 5 cited
MA2QL: A Minimalist Approach to Fully Decentralized Multi-Agent Reinforcement Learning
Kefan Su, Siyuan Zhou, Jiechuan Jiang +3
Decentralized learning has shown great promise for cooperative multi-agent reinforcement learning (MARL). However, non-stationarity remains a significant challenge in fully decentr…