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05/01/2023
Representations and Exploration for Deep Reinforcement Learning using Singular Value Decomposition
Representation learning and exploration are among the key challenges for...
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12/06/2022
Understanding Self-Predictive Learning for Reinforcement Learning
We study the learning dynamics of self-predictive learning for reinforce...
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06/16/2022
BYOL-Explore: Exploration by Bootstrapped Prediction
We present BYOL-Explore, a conceptually simple yet general approach for ...
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01/06/2021
Geometric Entropic Exploration
Exploration is essential for solving complex Reinforcement Learning (RL)...
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06/13/2020
Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
We introduce Bootstrap Your Own Latent (BYOL), a new approach to self-su...
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06/18/2019
Directed Exploration for Reinforcement Learning
Efficient exploration is necessary to achieve good sample efficiency for...
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11/15/2018
Neural Predictive Belief Representations
Unsupervised representation learning has succeeded with excellent result...
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03/09/2017
Sample Efficient Feature Selection for Factored MDPs
In reinforcement learning, the state of the real world is often represen...
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05/25/2016
