65 citations · 145 across the 21 of their papers we have counts for
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cs.LG2023
Q-Match: Self-Supervised Learning by Matching Distributions Induced by a Queue
Thomas Mulc, Debidatta Dwibedi
In semi-supervised learning, student-teacher distribution matching has been successful in improving performance of models using unlabeled data in conjunction with few labeled sampl…
cs.LG2018★ 65 cited
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning
Ilya Kostrikov, Kumar Krishna Agrawal, Debidatta Dwibedi +2
We identify two issues with the family of algorithms based on the Adversarial Imitation Learning framework. The first problem is implicit bias present in the reward functions used…