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Bayesian Generational Population-Based Training


Jul 19, 2022
Xingchen Wan, Cong Lu, Jack Parker-Holder, Philip J. Ball, Vu Nguyen, Binxin Ru, Michael A. Osborne

* AutoML Conference 2022. 10 pages, 4 figure, 3 tables (28 pages, 10 figures, 7 tables including references and appendices) 

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Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations


Jun 09, 2022
Cong Lu, Philip J. Ball, Tim G. J. Rudner, Jack Parker-Holder, Michael A. Osborne, Yee Whye Teh


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Revisiting Design Choices in Model-Based Offline Reinforcement Learning


Oct 08, 2021
Cong Lu, Philip J. Ball, Jack Parker-Holder, Michael A. Osborne, Stephen J. Roberts

* Spotlight @ RL4RealLife Workshop ICML2021 

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Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment


Apr 12, 2021
Philip J. Ball, Cong Lu, Jack Parker-Holder, Stephen Roberts

* To be presented as a Spotlight at the "Self-Supervision for Reinforcement Learning Workshop" @ ICLR 2021 

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Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces


Feb 14, 2021
Xingchen Wan, Vu Nguyen, Huong Ha, Binxin Ru, Cong Lu, Michael A. Osborne

* 9 page, 6 figures (26 pages, 13 figures, 2 tables including references and appendices) 

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