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

Y. Xu, J. Parker-Holder, A. Pacchiano, P. Ball, O. Rybkin, S. Roberts, T. Rocktäschel, and E. Grefenstette. NeurIPS, (2022)

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Philip J Havik

Hans Ball

Reinhard Ball

Helmut Ball

Andreas Ball

Other publications of authors with the same name

Same State, Different Task: Continual Reinforcement Learning without Interference.S. Kessler, J. Parker-Holder, P. Ball, S. Zohren, and S. Roberts. CoRR, (2021)Bayesian Generational Population-Based Training.X. Wan, C. Lu, J. Parker-Holder, P. Ball, V. Nguyen, B. Ru, and M. Osborne. AutoML, volume 188 of Proceedings of Machine Learning Research, page 14/1-27. PMLR, (2022)Learning General World Models in a Handful of Reward-Free Deployments.Y. Xu, J. Parker-Holder, A. Pacchiano, P. Ball, O. Rybkin, S. Roberts, T. Rocktäschel, and E. Grefenstette. NeurIPS, (2022)Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations.C. Lu, P. Ball, T. Rudner, J. Parker-Holder, M. Osborne, and Y. Teh. CoRR, (2022)Revisiting Design Choices in Model-Based Offline Reinforcement Learning.C. Lu, P. Ball, J. Parker-Holder, M. Osborne, and S. Roberts. CoRR, (2021)Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment.P. Ball, C. Lu, J. Parker-Holder, and S. Roberts. ICML, volume 139 of Proceedings of Machine Learning Research, page 619-629. PMLR, (2021)The Sensitivity of Counterfactual Fairness to Unmeasured Confounding.N. Kilbertus, P. Ball, M. Kusner, A. Weller, and R. Silva. UAI, volume 115 of Proceedings of Machine Learning Research, page 616-626. AUAI Press, (2019)Same State, Different Task: Continual Reinforcement Learning without Interference.S. Kessler, J. Parker-Holder, P. Ball, S. Zohren, and S. Roberts. AAAI, page 7143-7151. AAAI Press, (2022)Efficient Online Reinforcement Learning with Offline Data.P. Ball, L. Smith, I. Kostrikov, and S. Levine. ICML, volume 202 of Proceedings of Machine Learning Research, page 1577-1594. PMLR, (2023)Stabilizing Off-Policy Deep Reinforcement Learning from Pixels.E. Cetin, P. Ball, S. Roberts, and O. Çeliktutan. ICML, volume 162 of Proceedings of Machine Learning Research, page 2784-2810. PMLR, (2022)

BibSonomy

Disambiguation of "Ball, Philip J."

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

Please choose a person to relate this publication to

Philip J Havik

Hans Ball

Reinhard Ball

Helmut Ball

Andreas Ball

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Ball, Philip J."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Learning General World Models in a Handful of Reward-Free Deployments.

Please choose a person to relate this publication to

Philip J Havik

Hans Ball

Reinhard Ball

Helmut Ball

Andreas Ball

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

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