42 citations · 48 across the 11 of their papers we have counts for
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cs.AI2025★ 2 cited
Causal Mean Field Multi-Agent Reinforcement Learning
Hao Ma, Zhiqiang Pu, Yi Pan +3
Scalability remains a challenge in multi-agent reinforcement learning and is currently under active research. A framework named mean-field reinforcement learning (MFRL) could allev…
cs.AI2020★ 42 cited
Towards Playing Full MOBA Games with Deep Reinforcement Learning
Deheng Ye, Guibin Chen, Wen Zhang +15
MOBA games, e.g., Honor of Kings, League of Legends, and Dota 2, pose grand challenges to AI systems such as multi-agent, enormous state-action space, complex action control, etc.…