84 citations · 304 across the 24 of their papers we have counts for
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cs.MA2021★ 1 cited
Investigation of Independent Reinforcement Learning Algorithms in Multi-Agent Environments
Ken Ming Lee, Sriram Ganapathi Subramanian, Mark Crowley
Independent reinforcement learning algorithms have no theoretical guarantees for finding the best policy in multi-agent settings. However, in practice, prior works have reported go…
cs.MA2021
Partially Observable Mean Field Reinforcement Learning
Sriram Ganapathi Subramanian, Matthew E. Taylor, Mark Crowley +1
Traditional multi-agent reinforcement learning algorithms are not scalable to environments with more than a few agents, since these algorithms are exponential in the number of agen…