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Synthetic Experience Replay


Mar 12, 2023
Cong Lu, Philip J. Ball, Jack Parker-Holder

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Efficient Online Reinforcement Learning with Offline Data


Feb 15, 2023
Philip J. Ball, Laura Smith, Ilya Kostrikov, Sergey Levine

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Learning General World Models in a Handful of Reward-Free Deployments


Oct 23, 2022
Yingchen Xu, Jack Parker-Holder, Aldo Pacchiano, Philip J. Ball, Oleh Rybkin, Stephen J. Roberts, Tim Rocktäschel, Edward Grefenstette

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* To be published at NeurIPS 2022. Code and videos available at https://ycxuyingchen.github.io/cascade/ 

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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

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

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Stabilizing Off-Policy Deep Reinforcement Learning from Pixels


Jul 03, 2022
Edoardo Cetin, Philip J. Ball, Steve Roberts, Oya Celiktutan

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* Short presentation at ICML 2022 

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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

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* 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

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

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OffCon$^3$: What is state of the art anyway?


Jan 27, 2021
Philip J. Ball, Stephen J. Roberts

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