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2020 – today
- 2024
[i16]Rafael Rafailov, Kyle Hatch, Anikait Singh, Laura M. Smith, Aviral Kumar, Ilya Kostrikov, Philippe Hansen-Estruch, Victor Kolev, Philip J. Ball, Jiajun Wu, Chelsea Finn, Sergey Levine:
D5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning. CoRR abs/2408.08441 (2024)- 2023
- [j2]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) - [c11]Philip J. Ball, Laura M. Smith, Ilya Kostrikov, Sergey Levine:
Efficient Online Reinforcement Learning with Offline Data. ICML 2023: 1577-1594 - [c10]Cong Lu, Philip J. Ball, Yee Whye Teh, Jack Parker-Holder:
Synthetic Experience Replay. NeurIPS 2023 - [i15]Philip J. Ball, Laura M. Smith, Ilya Kostrikov, Sergey Levine:
Efficient Online Reinforcement Learning with Offline Data. CoRR abs/2302.02948 (2023) - [i14]Cong Lu, Philip J. Ball, Jack Parker-Holder:
Synthetic Experience Replay. CoRR abs/2303.06614 (2023) - 2022
- [c9]Samuel Kessler, Jack Parker-Holder, Philip J. Ball, Stefan Zohren, Stephen J. Roberts:
Same State, Different Task: Continual Reinforcement Learning without Interference. AAAI 2022: 7143-7151 - [c8]Xingchen Wan, Cong Lu, Jack Parker-Holder, Philip J. Ball, Vu Nguyen, Binxin Ru, Michael A. Osborne:
Bayesian Generational Population-Based Training. AutoML 2022: 14/1-27 - [c7]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 - [c6]Edoardo Cetin, Philip J. Ball, Stephen J. Roberts, Oya Çeliktutan:
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels. ICML 2022: 2784-2810 - [c5]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 - [i13]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 abs/2206.04779 (2022) - [i12]Edoardo Cetin, Philip J. Ball, Stephen J. Roberts, Oya Çeliktutan:
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels. CoRR abs/2207.00986 (2022) - [i11]Xingchen Wan, Cong Lu, Jack Parker-Holder, Philip J. Ball, Vu Nguyen, Binxin Ru, Michael A. Osborne:
Bayesian Generational Population-Based Training. CoRR abs/2207.09405 (2022) - [i10]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 abs/2210.12719 (2022) - 2021
- [j1]Noor Sajid, Philip J. Ball, Thomas Parr, Karl J. Friston
:
Active Inference: Demystified and Compared. Neural Comput. 33(3): 674-712 (2021) - [c4]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: 619-629 - [c3]Aldo Pacchiano, Philip J. Ball, Jack Parker-Holder, Krzysztof Choromanski, Stephen Roberts:
Towards tractable optimism in model-based reinforcement learning. UAI 2021: 1413-1423 - [i9]Philip J. Ball, Stephen J. Roberts:
OffCon3: What is state of the art anyway? CoRR abs/2101.11331 (2021) - [i8]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 abs/2104.05632 (2021) - [i7]Samuel Kessler, Jack Parker-Holder, Philip J. Ball, Stefan Zohren, Stephen J. Roberts:
Same State, Different Task: Continual Reinforcement Learning without Interference. CoRR abs/2106.02940 (2021) - [i6]Cong Lu, Philip J. Ball, Jack Parker-Holder, Michael A. Osborne, Stephen J. Roberts:
Revisiting Design Choices in Model-Based Offline Reinforcement Learning. CoRR abs/2110.04135 (2021) - 2020
- [c2]Philip J. Ball, Jack Parker-Holder, Aldo Pacchiano, Krzysztof Choromanski, Stephen J. Roberts:
Ready Policy One: World Building Through Active Learning. ICML 2020: 591-601 - [i5]Philip J. Ball, Jack Parker-Holder, Aldo Pacchiano, Krzysztof Choromanski, Stephen Roberts:
Ready Policy One: World Building Through Active Learning. CoRR abs/2002.02693 (2020) - [i4]Aldo Pacchiano, Philip J. Ball, Jack Parker-Holder, Krzysztof Choromanski, Stephen Roberts:
On Optimism in Model-Based Reinforcement Learning. CoRR abs/2006.11911 (2020) - [i3]Philip J. Ball, Yingzhen Li, Angus Lamb, Cheng Zhang:
A Study on Efficiency in Continual Learning Inspired by Human Learning. CoRR abs/2010.15187 (2020)
2010 – 2019
- 2019
- [c1]Niki Kilbertus, Philip J. Ball, Matt J. Kusner, Adrian Weller, Ricardo Silva:
The Sensitivity of Counterfactual Fairness to Unmeasured Confounding. UAI 2019: 616-626 - [i2]Niki Kilbertus, Philip J. Ball, Matt J. Kusner, Adrian Weller, Ricardo Silva:
The Sensitivity of Counterfactual Fairness to Unmeasured Confounding. CoRR abs/1907.01040 (2019) - [i1]Noor Sajid, Philip J. Ball, Karl J. Friston:
Demystifying active inference. CoRR abs/1909.10863 (2019)
Coauthor Index
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