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03/10/2023
Ignorance is Bliss: Robust Control via Information Gating
Informational parsimony – i.e., using the minimal information required f...
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12/28/2022
Representation Learning in Deep RL via Discrete Information Bottleneck
Several self-supervised representation learning methods have been propos...
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10/31/2022
Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information
Learning to control an agent from data collected offline in a rich pixel...
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11/15/2021
Learning Representations for Pixel-based Control: What Matters and Why?
Learning representations for pixel-based control has garnered significan...
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02/19/2021
Model-Invariant State Abstractions for Model-Based Reinforcement Learning
Accuracy and generalization of dynamics models is key to the success of ...
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05/20/2020
Mirror Descent Policy Optimization
We propose deep Reinforcement Learning (RL) algorithms inspired by mirro...
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10/07/2019
Multi-step Greedy Policies in Model-Free Deep Reinforcement Learning
Multi-step greedy policies have been extensively used in model-based Rei...
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05/17/2019
MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning
Shaping in humans and animals has been shown to be a powerful tool for l...
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05/14/2019
