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Reinforcement Learning in Factored Action Spaces using Tensor Decompositions


Oct 27, 2021
Anuj Mahajan, Mikayel Samvelyan, Lei Mao, Viktor Makoviychuk, Animesh Garg, Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Animashree Anandkumar

* 2nd Workshop on Quantum Tensor Networks in Machine Learning (NeurIPS 2021) 

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Model based Multi-agent Reinforcement Learning with Tensor Decompositions


Oct 27, 2021
Pascal Van Der Vaart, Anuj Mahajan, Shimon Whiteson

* 2nd Workshop on Quantum Tensor Networks in Machine Learning (NeurIPS 2021) 

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Open-Ended Learning Leads to Generally Capable Agents


Jul 31, 2021
Open Ended Learning Team, Adam Stooke, Anuj Mahajan, Catarina Barros, Charlie Deck, Jakob Bauer, Jakub Sygnowski, Maja Trebacz, Max Jaderberg, Michael Mathieu, Nat McAleese, Nathalie Bradley-Schmieg, Nathaniel Wong, Nicolas Porcel, Roberta Raileanu, Steph Hughes-Fitt, Valentin Dalibard, Wojciech Marian Czarnecki


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SoftDICE for Imitation Learning: Rethinking Off-policy Distribution Matching


Jun 06, 2021
Mingfei Sun, Anuj Mahajan, Katja Hofmann, Shimon Whiteson


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Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning


May 31, 2021
Anuj Mahajan, Mikayel Samvelyan, Lei Mao, Viktor Makoviychuk, Animesh Garg, Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Animashree Anandkumar

* 38th International Conference on Machine Learning, PMLR 139, 2021 

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UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning


Oct 06, 2020
Tarun Gupta, Anuj Mahajan, Bei Peng, Wendelin Böhmer, Shimon Whiteson

* Under review 

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RODE: Learning Roles to Decompose Multi-Agent Tasks


Oct 04, 2020
Tonghan Wang, Tarun Gupta, Anuj Mahajan, Bei Peng, Shimon Whiteson, Chongjie Zhang


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MAVEN: Multi-Agent Variational Exploration


Oct 16, 2019
Anuj Mahajan, Tabish Rashid, Mikayel Samvelyan, Shimon Whiteson


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VIREL: A Variational Inference Framework for Reinforcement Learning


Nov 03, 2018
Matthew Fellows, Anuj Mahajan, Tim G. J. Rudner, Shimon Whiteson


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Symmetry Learning for Function Approximation in Reinforcement Learning


Jun 09, 2017
Anuj Mahajan, Theja Tulabandhula

* 12 pages, 3 figures. A preliminary version appears in AAMAS 2017. Also presented at the 3rd Multidisciplinary Conference on Reinforcement Learning and Decision Making 

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