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10/12/2021
Action-Sufficient State Representation Learning for Control with Structural Constraints
Perceived signals in real-world scenarios are usually high-dimensional a...
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07/06/2021
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning
Most approaches in reinforcement learning (RL) are data-hungry and speci...
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02/24/2021
Nonlinear Invariant Risk Minimization: A Causal Approach
Due to spurious correlations, machine learning systems often fail to gen...
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12/16/2020
Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation
Reinforcement learning (RL) algorithms usually require a substantial amo...
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07/24/2020
Interpreting Spatially Infinite Generative Models
Traditional deep generative models of images and other spatial modalitie...
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12/26/2018
Deconfounding Reinforcement Learning in Observational Settings
We propose a general formulation for addressing reinforcement learning (...
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04/15/2014
