560 citations · 3.3k across the 60 of their papers we have counts for
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cs.LG2017
Summable Reparameterizations of Wasserstein Critics in the One-Dimensional Setting
Christopher Grimm, Yuhang Song, Michael L. Littman
Generative adversarial networks (GANs) are an exciting alternative to algorithms for solving density estimation problems---using data to assess how likely samples are to be drawn f…
cs.LG2017★ 111 cited
Near Optimal Behavior via Approximate State Abstraction
David Abel, D. Ellis Hershkowitz, Michael L. Littman
The combinatorial explosion that plagues planning and reinforcement learning (RL) algorithms can be moderated using state abstraction. Prohibitively large task representations can…