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09/14/2023
Equivariant Data Augmentation for Generalization in Offline Reinforcement Learning
We present a novel approach to address the challenge of generalization i...
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12/02/2021
Quantile Filtered Imitation Learning
We introduce quantile filtered imitation learning (QFIL), a novel policy...
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06/16/2021
Offline RL Without Off-Policy Evaluation
Most prior approaches to offline reinforcement learning (RL) have taken ...
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01/23/2021
Rethinking Exploration for Sample-Efficient Policy Learning
Off-policy reinforcement learning for control has made great strides in ...
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09/15/2020
Evaluating representations by the complexity of learning low-loss predictors
We consider the problem of evaluating representations of data for use in...
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06/27/2020
Overfitting and Optimization in Offline Policy Learning
We consider the task of policy learning from an offline dataset generate...
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01/17/2019
Disentangling Video with Independent Prediction
We propose an unsupervised variational model for disentangling video int...
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05/19/2017
Model-Based Planning in Discrete Action Spaces
Planning actions using learned and differentiable forward models of the ...
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02/21/2017
