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08/12/2023
Value-Distributional Model-Based Reinforcement Learning
Quantifying uncertainty about a policy's long-term performance is import...
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02/24/2023
Model-Based Uncertainty in Value Functions
We consider the problem of quantifying uncertainty over expected cumulat...
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12/09/2022
Information-Theoretic Safe Exploration with Gaussian Processes
We consider a sequential decision making task where we are not allowed t...
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11/22/2021
Transfer Learning with Gaussian Processes for Bayesian Optimization
Bayesian optimization is a powerful paradigm to optimize black-box funct...
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02/07/2020