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Philip J. Ball

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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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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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Stabilizing Off-Policy Deep Reinforcement Learning from Pixels

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

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

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

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