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Emile Anand — most-cited papers & profile · Reinforcement Learning
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Emile Anand
5
papers ·
0
citations ·
1
h-index
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Most-cited papers
Learning Approximate Nash Equilibria in Cooperative Multi-Agent Reinforcement Learning via Mean-Field Subsampling
2026
Graphon Mean-Field Subsampling for Cooperative Heterogeneous Multi-Agent Reinforcement Learning
2026
Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning
2024
Efficient Reinforcement Learning for Global Decision Making in the Presence of Local Agents at Scale
2024
Top co-authors
Guannan Qu
· 2
Ishani Karmarkar
· 2
Adam Wierman
· 1
Richard Hoffmann
· 1
Sarah Liaw
· 1
Topics
Multi-Agent
Value-Based
Game AI