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02/02/2022
Lipschitz-constrained Unsupervised Skill Discovery
We study the problem of unsupervised skill discovery, whose goal is to l...
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11/06/2021
Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods
In reinforcement learning, continuous time is often discretized by a tim...
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06/27/2021
Unsupervised Skill Discovery with Bottleneck Option Learning
Having the ability to acquire inherent skills from environments without ...
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03/23/2021
Drop-Bottleneck: Learning Discrete Compressed Representation for Noise-Robust Exploration
We propose a novel information bottleneck (IB) method named Drop-Bottlen...
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10/02/2018