398 citations · 488 across the 14 of their papers we have counts for
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cs.LG2021
Wasserstein Distance Maximizing Intrinsic Control
Ishan Durugkar, Steven Hansen, Stephen Spencer +1
This paper deals with the problem of learning a skill-conditioned policy that acts meaningfully in the absence of a reward signal. Mutual information based objectives have shown so…
cs.LG2021★ 4 cited
Adversarial Intrinsic Motivation for Reinforcement Learning
Ishan Durugkar, Mauricio Tec, Scott Niekum +1
Learning with an objective to minimize the mismatch with a reference distribution has been shown to be useful for generative modeling and imitation learning. In this paper, we inve…