Publications

(* denotes equal contribution)

Generalization Across Observation Shifts in Reinforcement Learning

Published in arxiv, 2023

Anuj Mahajan, Amy Zhang
Paper Link Citation

Generalization in Cooperative Multi-Agent Systems

Published in arxiv, 2022

Anuj Mahajan, Mikayel Samvelyan, Tarun Gupta, Benjamin Ellis, Mingfei Sun, Tim Rocktäschel, Shimon Whiteson
Paper Link Citation

Open-Ended Learning Leads to Generally Capable Agents

Published in DeepMind, 2021

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 and Wojciech Marian Czarnecki
Paper Link Citation

Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning

Published in International Conference on Machine Learning, 2021

Anuj Mahajan, Mikayel Samvelyan, Lei Mao, Viktor Makoviychuk, Animesh Garg, Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Animashree Anandkumar
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UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning

Published in International Conference on Machine Learning, 2021

Tarun Gupta, Anuj Mahajan, Bei Peng, Wendelin Böhmer, Shimon Whiteson
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SoftDICE for Imitation Learning: Rethinking Off-policy Distribution Matching

Published in arxiv, 2021

Mingfei Sun, Anuj Mahajan, Katja Hofmann, Shimon Whiteson
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RODE: Learning Roles to Decompose Multi-Agent Tasks

Published in International Conference on Learning Representations, 2020

Tonghan Wang, Tarun Gupta, Anuj Mahajan, Bei Peng, Shimon Whiteson, Chongjie Zhang
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Maven: Multi-agent variational exploration

Published in Neural Information Processing Systems, 2019

Anuj Mahajan, Tabish Rashid, Mikayel Samvelyan, Shimon Whiteson
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Virel: A variational inference framework for reinforcement learning

Published in Neural Information Processing Systems, 2019

Anuj Mahajan*, Matthew Fellows*, Tim GJ Rudner, Shimon Whiteson
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Symmetry Learning for Function Approximation in Reinforcement Learning

Published in arxiv, 2017

Anuj Mahajan, Theja Tulabandhula
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Symmetry Detection and Exploitation for Function Approximation in Deep RL

Published in Conference on Autonomous Agents and MultiAgent Systems, 2017

Anuj Mahajan, Theja Tulabandhula
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Lifted Inference Rules with Constraints

Published in Neural Information Processing Systems, 2015

Happy Mittal, Anuj Mahajan, Vibhav Gogate, Parag Singla
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Feature selection for short text classification using Wavelet Packet Transform

Published in Conference on Computational Natural Language Learning, 2015

Anuj Mahajan, Sharmistha, Shourya Roy
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