Mikayel Samvelyan

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Shimon WhitesonProfessor of Computer Science, University of Oxford / Senior Staff Research Scientist, WaymoVerified email at cs.ox.ac.uk
Jakob FoersterAssociate Professor, University of OxfordVerified email at eng.ox.ac.uk
Christian Schroeder de WittUniversity of OxfordVerified email at robots.ox.ac.uk
Tabish RashidMicrosoft ResearchVerified email at microsoft.com
Gregory FarquharDeepMindVerified email at google.com
Tim RocktäschelProfessor of Artificial Intelligence at UCL, Open-Endedness Team Lead at Google DeepMindVerified email at cs.ucl.ac.uk
Anuj MahajanAmazonVerified email at cs.ox.ac.uk
Minqi JiangFAIR, Meta AIVerified email at ucl.ac.uk
Tim G. J. RudnerFaculty Fellow, New York UniversityVerified email at nyu.edu
Chia-Man HungUniversity of OxfordVerified email at robots.ox.ac.uk
Jack Parker-HolderGoogle DeepMind, UCLVerified email at google.com
Edward GrefenstetteDirector of Research, Google DeepMind | Honorary Professor, UCLVerified email at google.com
Philip TorrProfessor, University of OxfordVerified email at eng.ox.ac.uk
Nantas NardelliCarbon ReVerified email at carbonre.com
Michael DennisPhD Candidate, UC BerkeleyVerified email at cs.berkeley.edu
Benjamin EllisUniversity of OxfordVerified email at robots.ox.ac.uk
Jean KossaifiSenior Research Scientist at NVIDIAVerified email at nvidia.com
Animesh GargAssistant Professor, Georgia Institute of Technology, University of Toronto, NvidiaVerified email at gatech.edu
Lei MaoNVIDIAVerified email at nvidia.com
Yuke ZhuAssistant Professor of Computer Science, The University of Texas at AustinVerified email at cs.utexas.edu

Mikayel Samvelyan

Meta AI & UCL

Verified email at meta.com - Homepage

Artificial Intelligence Reinforcement Learning Open-Endedness Multi-Agent Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning T Rashid, M Samvelyan, CS De Witt, G Farquhar, J Foerster, S Whiteson Journal of Machine Learning Research (JMLR), 2020	1825	2020
The StarCraft Multi-Agent Challenge M Samvelyan, T Rashid, CS de Witt, G Farquhar, N Nardelli, ... AAMAS 2019, 2019	758	2019
MAVEN: Multi-Agent Variational Exploration A Mahajan, T Rashid, M Samvelyan, S Whiteson NeurIPS 2019, 2019	318	2019
Evolving Curricula with Regret-Based Environment Design J Parker-Holder, M Jiang, M Dennis, M Samvelyan, J Foerster, ... ICML 2022, 2022	64	2022
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research M Samvelyan, R Kirk, V Kurin, J Parker-Holder, M Jiang, E Hambro, ... NeurIPS 2021, 2021	61	2021
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning A Mahajan, M Samvelyan, L Mao, V Makoviychuk, A Garg, J Kossaifi, ... ICML 2021, 2021	29	2021
SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning B Ellis, S Moalla, M Samvelyan, M Sun, A Mahajan, JN Foerster, ... arXiv preprint arXiv:2212.07489, 2022	21*	2022
Insights From the NeurIPS 2021 NetHack Challenge E Hambro, S Mohanty, D Babaev, M Byeon, D Chakraborty, ... NeurIPS 2021 Competitions and Demonstrations Track, 2022	12	2022
Generalization in Cooperative Multi-Agent Systems A Mahajan, M Samvelyan, T Gupta, B Ellis, M Sun, T Rocktäschel, ... arXiv preprint arXiv:2202.00104, 2022	11	2022
MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning M Samvelyan, A Khan, MD Dennis, M Jiang, J Parker-Holder, JN Foerster, ... ICLR 2023, 2023	7	2023
GriddlyJS: A Web IDE for Reinforcement Learning C Bamford, M Jiang, M Samvelyan, T Rocktäschel NeurIPS 2022, 2022	5	2022
Reinforcement Learning in Factored Action Spaces using Tensor Decompositions A Mahajan, M Samvelyan, L Mao, V Makoviychuk, A Garg, J Kossaifi, ... arXiv preprint arXiv:2110.14538, 2021	4	2021
Hierarchical Kickstarting for Skill Transfer in Reinforcement Learning M Matthews, M Samvelyan, J Parker-Holder, E Grefenstette, ... CoLLAs 2022, 2022	2	2022
Random Irregular Block-Hierarchical Networks: Algorithms for Computation of Main Properties S Avetisyan, M Samvelyan, M Karapetyan IX Annual Scientific Conference at Russian-Armenian University, 2015	2	2015
JaxMARL: Multi-Agent RL Environments in JAX A Rutherford, B Ellis, M Gallici, J Cook, A Lupu, G Ingvarsson, T Willi, ... arXiv preprint arXiv:2311.10090, 2023	1	2023
SkillHack: A Benchmark for Skill Transfer in Open-Ended Reinforcement Learning M Matthews, M Samvelyan, J Parker-Holder, E Grefenstette, ... Workshop on Agent Learning in Open-Endedness @ ICLR 2022, 2022	1	2022
That Escalated Quickly: Compounding Complexity by Editing Levels at the Frontier of Agent Capabilities J Parker-Holder, M Jiang, MD Dennis, M Samvelyan, JN Foerster, ... Deep Reinforcement Learning Workshop @ NeurIPS 2021, 2021	1	2021
Mix-ME: Quality-Diversity for Multi-Agent Learning G Ingvarsson, M Samvelyan, B Lim, M Flageat, A Cully, T Rocktäschel arXiv preprint arXiv:2311.01829, 2023		2023

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