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05/14/2019
Trajectory-Based Off-Policy Deep Reinforcement Learning
Policy gradient methods are powerful reinforcement learning algorithms a...
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04/04/2019
Meta-Learning Acquisition Functions for Bayesian Optimization
Many practical applications of machine learning require data-efficient b...
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10/29/2018
Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds
Gaussian Processes (GPs) are a generic modelling tool for supervised lea...
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01/31/2018
Probabilistic Recurrent State-Space Models
State-space models (SSMs) are a highly expressive model class for learni...
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03/08/2017
