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11/23/2022
On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation
Sample-efficient offline reinforcement learning (RL) with linear functio...
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09/16/2022
Continual Learning with Dependency Preserving Hypernetworks
Humans learn continually throughout their lifespan by accumulating diver...
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03/15/2022
Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization
The expected improvement (EI) algorithm is one of the most popular strat...
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07/24/2020
Distributional Reinforcement Learning with Maximum Mean Discrepancy
Distributional reinforcement learning (RL) has achieved state-of-the-art...
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05/18/2020
HyperVAE: A Minimum Description Length Variational Hyper-Encoding Network
We propose a framework called HyperVAE for encoding distributions of dis...
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02/12/2019
