Ball, Philip

6 publications

NeurIPS 2023 Synthetic Experience Replay Cong Lu, Philip Ball, Yee Whye Teh, Jack Parker-Holder

NeurIPS 2022 Learning General World Models in a Handful of Reward-Free Deployments Yingchen Xu, Jack Parker-Holder, Aldo Pacchiano, Philip Ball, Oleh Rybkin, S Roberts, Tim Rocktäschel, Edward Grefenstette

ICLR 2022 Revisiting Design Choices in Offline Model Based Reinforcement Learning Cong Lu, Philip Ball, Jack Parker-Holder, Michael Osborne, Stephen J. Roberts

ICLRW 2021 Augmented World Models Facilitate Zero-Shot Dynamics Generalization from a Single Offline Environment Philip Ball, Cong Lu, Jack Parker-Holder, S Roberts

UAI 2021 Towards Tractable Optimism in Model-Based Reinforcement Learning Aldo Pacchiano, Philip Ball, Jack Parker-Holder, Krzysztof Choromanski, Stephen Roberts

ICML 2020 Ready Policy One: World Building Through Active Learning Philip Ball, Jack Parker-Holder, Aldo Pacchiano, Krzysztof Choromanski, Stephen Roberts