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20162020
most citedModel-Free Mean-Field Reinforcement Learning: Mean-Field MDP and Mean-Field Q-Learning

39 citations · 74 across the 5 of their papers we have counts for

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Showing 2019Show all

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math.OC2019★ 39 cited

Model-Free Mean-Field Reinforcement Learning: Mean-Field MDP and Mean-Field Q-Learning

René Carmona, Mathieu Laurière, Zongjun Tan

We study infinite horizon discounted Mean Field Control (MFC) problems with common noise through the lens of Mean Field Markov Decision Processes (MFMDP). We allow the agents to us…

math.OC2019★ 34 cited

Linear-Quadratic Mean-Field Reinforcement Learning: Convergence of Policy Gradient Methods

René Carmona, Mathieu Laurière, Zongjun Tan

We investigate reinforcement learning in the setting of Markov decision processes for a large number of exchangeable agents interacting in a mean field manner. Applications include…