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On Sequential Bayesian Inference for Continual Learning


Jan 04, 2023
Samuel Kessler, Adam Cobb, Tim G. J. Rudner, Stefan Zohren, Stephen J. Roberts

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* 21 pages, 14 figures 

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Statistical Design and Analysis for Robust Machine Learning: A Case Study from COVID-19


Dec 15, 2022
Davide Pigoli, Kieran Baker, Jobie Budd, Lorraine Butler, Harry Coppock, Sabrina Egglestone, Steven G. Gilmour, Chris Holmes, David Hurley, Radka Jersakova, Ivan Kiskin, Vasiliki Koutra, Jonathon Mellor, George Nicholson, Joe Packham, Selina Patel, Richard Payne, Stephen J. Roberts, Björn W. Schuller, Ana Tendero-Cañadas, Tracey Thornley, Alexander Titcomb

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The Surprising Effectiveness of Latent World Models for Continual Reinforcement Learning


Nov 29, 2022
Samuel Kessler, Piotr Miłoś, Jack Parker-Holder, Stephen J. Roberts

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* 13 pages, 6 figures, accepted at the Deep RL workshop NeurIPS 22 

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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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* To be published at NeurIPS 2022. Code and videos available at https://ycxuyingchen.github.io/cascade/ 

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On-the-fly Strategy Adaptation for ad-hoc Agent Coordination


Mar 08, 2022
Jaleh Zand, Jack Parker-Holder, Stephen J. Roberts

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* Extended abstract published in AAMAS 2022 

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HumBugDB: A Large-scale Acoustic Mosquito Dataset


Oct 14, 2021
Ivan Kiskin, Marianne Sinka, Adam D. Cobb, Waqas Rafique, Lawrence Wang, Davide Zilli, Benjamin Gutteridge, Rinita Dam, Theodoros Marinos, Yunpeng Li, Dickson Msaky, Emmanuel Kaindoa, Gerard Killeen, Eva Herreros-Moya, Kathy J. Willis, Stephen J. Roberts

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* Accepted at the 35th Conference on Neural Information Processing Systems (NeurIPS 2021) Track on Datasets and Benchmarks. 10 pages main, 39 pages including appendix. This paper accompanies the dataset found at https://zenodo.org/record/4904800 with corresponding code at https://github.com/HumBug-Mosquito/HumBugDB 

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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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* Spotlight @ RL4RealLife Workshop ICML2021 

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Marginalising over Stationary Kernels with Bayesian Quadrature


Jun 14, 2021
Saad Hamid, Sebastian Schulze, Michael A. Osborne, Stephen J. Roberts

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Same State, Different Task: Continual Reinforcement Learning without Interference


Jun 05, 2021
Samuel Kessler, Jack Parker-Holder, Philip Ball, Stefan Zohren, Stephen J. Roberts

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* 20 pages, 12 figures 

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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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