Mikayel Samvelyan

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Jakob FoersterAssociate Professor, University of OxfordVerified email at eng.ox.ac.uk
Shimon WhitesonProfessor of Computer Science, University of Oxford / Senior Staff Research Scientist, WaymoVerified email at cs.ox.ac.uk
Christian Schroeder de WittUniversity of OxfordVerified email at robots.ox.ac.uk
Tabish RashidMicrosoft ResearchVerified email at microsoft.com
Tim RocktäschelDirector and Open-Endedness Team Lead at Google DeepMind, Professor of AI at UCL, Fellow ELLISVerified email at cs.ucl.ac.uk
Gregory FarquharDeepMindVerified email at google.com
Minqi JiangFAIR at Meta AIVerified email at ucl.ac.uk
Jack Parker-HolderGoogle DeepMind, UCLVerified email at google.com
Anuj MahajanAppleVerified email at cs.ox.ac.uk
Tim G. J. RudnerFaculty Fellow, New York UniversityVerified email at nyu.edu
Edward GrefenstetteDirector of Research, Google DeepMind | Honorary Professor, UCLVerified email at google.com
Benjamin EllisUniversity of OxfordVerified email at robots.ox.ac.uk
Philip TorrProfessor, University of OxfordVerified email at eng.ox.ac.uk
Nantas NardelliPacific FusionVerified email at pacificfusion.com
Michael DennisGoogle DeepMindVerified email at cs.berkeley.edu
Eric HambroAnthropicVerified email at anthropic.com
Andrei LupuUniversity of Oxford & FAIR, Meta AIVerified email at mail.mcgill.ca
Chris LuOpenAIVerified email at openai.com
Timon WilliUniversity of OxfordVerified email at eng.ox.ac.uk
akbir khanUniversity College LondonVerified email at cantab.ac.uk

Mikayel Samvelyan

Google DeepMind

Verified email at google.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	2640	2020
The StarCraft Multi-Agent Challenge M Samvelyan, T Rashid, CS de Witt, G Farquhar, N Nardelli, ... AAMAS 2019, 2019	1130	2019
The Llama 3 Herd of Models A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, A Letman, A Mathur, ... arXiv preprint, 2024	1091	2024
MAVEN: Multi-Agent Variational Exploration A Mahajan, T Rashid, M Samvelyan, S Whiteson NeurIPS 2019, 2019	429	2019
Evolving Curricula with Regret-Based Environment Design J Parker-Holder, M Jiang, M Dennis, M Samvelyan, J Foerster, ... ICML 2022, 2022	117	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	92	2021
SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning B Ellis, J Cook, S Moalla, M Samvelyan, M Sun, A Mahajan, JN Foerster, ... NeurIPS 2023, 2022	76	2022
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning A Mahajan, M Samvelyan, L Mao, V Makoviychuk, A Garg, J Kossaifi, ... ICML 2021, 2021	41	2021
JaxMARL: Multi-Agent RL Environments and Algorithms in JAX A Rutherford, B Ellis, M Gallici, J Cook, A Lupu, G Ingvarsson, T Willi, ... NeurIPS 2024, 2023	32*	2023
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts M Samvelyan, SC Raparthy, A Lupu, E Hambro, AH Markosyan, M Bhatt, ... NeurIPS 2024, 2024	28	2024
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	27	2023
Insights From the NeurIPS 2021 NetHack Challenge E Hambro, S Mohanty, D Babaev, M Byeon, D Chakraborty, ... NeurIPS 2021 Competitions and Demonstrations Track, 2022	20	2022
Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning M Matthews, M Beukman, B Ellis, M Samvelyan, M Jackson, S Coward, ... ICML 2024 (Spotlight), 2024	19	2024
Generalization in Cooperative Multi-Agent Systems A Mahajan, M Samvelyan, T Gupta, B Ellis, M Sun, T Rocktäschel, ... arXiv preprint arXiv:2202.00104, 2022	19	2022
Reinforcement Learning in Factored Action Spaces Using Tensor Decompositions A Mahajan, M Samvelyan, L Mao, V Makoviychuk, A Garg, J Kossaifi, ... 2nd Workshop on Quantum Tensor Networks in Machine Learning @ NeurIPS 2021, 2021	10	2021
GriddlyJS: A Web IDE for Reinforcement Learning C Bamford, M Jiang, M Samvelyan, T Rocktäschel NeurIPS 2022, 2022	7	2022
Pax: Scalable opponent shaping in jax T Willi, A Khan, N Kwan, M Samvelyan, C Lu, J Foerster	6*	2023
Hierarchical Kickstarting for Skill Transfer in Reinforcement Learning M Matthews, M Samvelyan, J Parker-Holder, E Grefenstette, ... CoLLAs 2022, 2022	4	2022
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	3	2022
Mix-ME: Quality-Diversity for Multi-Agent Learning G Ingvarsson, M Samvelyan, B Lim, M Flageat, A Cully, T Rocktäschel ALOE @ NeurIPS 2023, 2023	2	2023

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