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A Simple Approach for State-Action Abstraction using a Learned MDP Homomorphism


Sep 14, 2022
Augustine N. Mavor-Parker, Andrea Banino, Lewis D. Griffin, Caswell Barry

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* Presented at the Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM) 2022 

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The CLRS Algorithmic Reasoning Benchmark


Jun 04, 2022
Petar Velińćkovińá, Adri√† Puigdom√®nech Badia, David Budden, Razvan Pascanu, Andrea Banino, Misha Dashevskiy, Raia Hadsell, Charles Blundell

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* To appear in ICML 2022. 19 pages, 4 figures 

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Semantic Exploration from Language Abstractions and Pretrained Representations


Apr 08, 2022
Allison C. Tam, Neil C. Rabinowitz, Andrew K. Lampinen, Nicholas A. Roy, Stephanie C. Y. Chan, DJ Strouse, Jane X. Wang, Andrea Banino, Felix Hill

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Retrieval-Augmented Reinforcement Learning


Mar 09, 2022
Anirudh Goyal, Abram L. Friesen, Andrea Banino, Theophane Weber, Nan Rosemary Ke, Adria Puigdomenech Badia, Arthur Guez, Mehdi Mirza, Peter C. Humphreys, Ksenia Konyushkova, Michal Valko, Simon Osindero, Timothy Lillicrap, Nicolas Heess, Charles Blundell

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CoBERL: Contrastive BERT for Reinforcement Learning


Jul 12, 2021
Andrea Banino, Adrià Puidomenech Badia, Jacob Walker, Tim Scholtes, Jovana Mitrovic, Charles Blundell

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* 9 pages, 2 figures, 6 tables 

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PonderNet: Learning to Ponder


Jul 12, 2021
Andrea Banino, Jan Balaguer, Charles Blundell

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* 16 pages, 2 figures, 2 tables, 8th ICML Workshop on Automated Machine Learning (2021) 

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Towards mental time travel: a hierarchical memory for reinforcement learning agents


May 28, 2021
Andrew Kyle Lampinen, Stephanie C. Y. Chan, Andrea Banino, Felix Hill

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* 10 pages main text; 22 pages total 

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MEMO: A Deep Network for Flexible Combination of Episodic Memories


Jan 29, 2020
Andrea Banino, Adrià Puigdomènech Badia, Raphael Köster, Martin J. Chadwick, Vinicius Zambaldi, Demis Hassabis, Caswell Barry, Matthew Botvinick, Dharshan Kumaran, Charles Blundell

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* 9 pages, 2 figures, 3 tables, to be published as a conference paper at ICLR 2020 

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