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10/15/2021
On-Policy Model Errors in Reinforcement Learning
Model-free reinforcement learning algorithms can compute policy gradient...
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10/06/2021
Model Learning and Contextual Controller Tuning for Autonomous Racing
Model predictive control has been widely used in the field of autonomous...
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11/18/2020
Cautious Bayesian Optimization for Efficient and Scalable Policy Search
Sample efficiency is one of the key factors when applying policy search ...
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02/07/2020
Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization
We consider the problem of robust optimization within the well-establish...
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01/21/2020
Bayesian Optimization for Policy Search in High-Dimensional Systems via Automatic Domain Selection
Bayesian Optimization (BO) is an effective method for optimizing expensi...
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12/23/2019
