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20192025
most citedReinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration

27 citations · 34 across the 10 of their papers we have counts for

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math.OC2020★ 1 cited

Reinforcement Learning for Mean Field Games with Strategic Complementarities

Kiyeob Lee, Desik Rengarajan, Dileep Kalathil +1

Mean Field Games (MFG) are the class of games with a very large number of agents and the standard equilibrium concept is a Mean Field Equilibrium (MFE). Algorithms for learning MFE…