Philip J. Ball

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 27

Top Topics

Bayesian Decision

Reinforcement Learning

Neighboring Pixels

Top Venues

Publications

Philip J. Ball, Laura M. Smith, Ilya Kostrikov, Sergey Levine
Efficient Online Reinforcement Learning with Offline Data. CoRR (2023)
Cong Lu, Philip J. Ball, Yee Whye Teh, Jack Parker-Holder
Synthetic Experience Replay. NeurIPS (2023)
Cong Lu, Philip J. Ball, Jack Parker-Holder
Synthetic Experience Replay. CoRR (2023)
Cong Lu, Philip J. Ball, Tim G. J. Rudner, Jack Parker-Holder, Michael A. Osborne, Yee Whye Teh
Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations. Trans. Mach. Learn. Res. 2023 (2023)
Philip J. Ball, Laura M. Smith, Ilya Kostrikov, Sergey Levine
Efficient Online Reinforcement Learning with Offline Data. ICML (2023)
Yingchen Xu, Jack Parker-Holder, Aldo Pacchiano, Philip J. Ball, Oleh Rybkin, Stephen Roberts, Tim Rocktäschel, Edward Grefenstette
Learning General World Models in a Handful of Reward-Free Deployments. NeurIPS (2022)
Edoardo Cetin, Philip J. Ball, Stephen J. Roberts, Oya Çeliktutan
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels. ICML (2022)
Xingchen Wan, Cong Lu, Jack Parker-Holder, Philip J. Ball, Vu Nguyen, Binxin Ru, Michael A. Osborne
Bayesian Generational Population-Based Training. AutoML (2022)
Xingchen Wan, Cong Lu, Jack Parker-Holder, Philip J. Ball, Vu Nguyen, Binxin Ru, Michael A. Osborne
Bayesian Generational Population-Based Training. CoRR (2022)
Edoardo Cetin, Philip J. Ball, Steve Roberts, Oya Çeliktutan
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels. CoRR (2022)
Yingchen Xu, Jack Parker-Holder, Aldo Pacchiano, Philip J. Ball, Oleh Rybkin, Stephen J. Roberts, Tim Rocktäschel, Edward Grefenstette
Learning General World Models in a Handful of Reward-Free Deployments. CoRR (2022)
Samuel Kessler, Jack Parker-Holder, Philip J. Ball, Stefan Zohren, Stephen J. Roberts
Same State, Different Task: Continual Reinforcement Learning without Interference. AAAI (2022)
Cong Lu, Philip J. Ball, Jack Parker-Holder, Michael A. Osborne, Stephen J. Roberts
Revisiting Design Choices in Offline Model Based Reinforcement Learning. ICLR (2022)
Cong Lu, Philip J. Ball, Tim G. J. Rudner, Jack Parker-Holder, Michael A. Osborne, Yee Whye Teh
Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations. CoRR (2022)
Samuel Kessler, Jack Parker-Holder, Philip J. Ball, Stefan Zohren, Stephen J. Roberts
Same State, Different Task: Continual Reinforcement Learning without Interference. CoRR (2021)
Philip J. Ball, Cong Lu, Jack Parker-Holder, Stephen J. Roberts
Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment. ICML (2021)
Philip J. Ball, Stephen J. Roberts
: What is state of the art anyway? CoRR (2021)
Cong Lu, Philip J. Ball, Jack Parker-Holder, Michael A. Osborne, Stephen J. Roberts
Revisiting Design Choices in Model-Based Offline Reinforcement Learning. CoRR (2021)
Noor Sajid, Philip J. Ball, Thomas Parr, Karl J. Friston
Active Inference: Demystified and Compared. Neural Comput. 33 (3) (2021)
Philip J. Ball, Cong Lu, Jack Parker-Holder, Stephen J. Roberts
Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment. CoRR (2021)
Aldo Pacchiano, Philip J. Ball, Jack Parker-Holder, Krzysztof Choromanski, Stephen Roberts
On Optimism in Model-Based Reinforcement Learning. CoRR (2020)
Philip J. Ball, Yingzhen Li, Angus Lamb, Cheng Zhang
A Study on Efficiency in Continual Learning Inspired by Human Learning. CoRR (2020)
Philip J. Ball, Jack Parker-Holder, Aldo Pacchiano, Krzysztof Choromanski, Stephen J. Roberts
Ready Policy One: World Building Through Active Learning. ICML (2020)
Philip J. Ball, Jack Parker-Holder, Aldo Pacchiano, Krzysztof Choromanski, Stephen Roberts
Ready Policy One: World Building Through Active Learning. CoRR (2020)
Noor Sajid, Philip J. Ball, Karl J. Friston
Demystifying active inference. CoRR (2019)
Niki Kilbertus, Philip J. Ball, Matt J. Kusner, Adrian Weller, Ricardo Silva
The Sensitivity of Counterfactual Fairness to Unmeasured Confounding. CoRR (2019)
Niki Kilbertus, Philip J. Ball, Matt J. Kusner, Adrian Weller, Ricardo Silva
The Sensitivity of Counterfactual Fairness to Unmeasured Confounding. UAI (2019)