Mikayel Samvelyan

Cited by

	All	Since 2018
Citations	2180	2168
h-index	6	6
i10-index	6	6

980

490

245

735

20182019202020212022202320 100 272 605 968 203

Public access

View all

3 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Shimon WhitesonProfessor of Computer Science, University of Oxford / Head of Research, Waymo UKVerified 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
Anuj MahajanUniversity of OxfordVerified email at cs.ox.ac.uk
Tim RocktäschelResearch Scientist at DeepMind, Associate Professor at UCLVerified email at cs.ucl.ac.uk
Tim G. J. RudnerIncoming Assistant Professor & Faculty Fellow, New York UniversityVerified email at nyu.edu
Chia-Man HungPhD Candidate, University of OxfordVerified email at robots.ox.ac.uk
Jack Parker-HolderResearch Scientist at DeepMindVerified email at google.com
Edward GrefenstetteHead of Machine Learning, Cohere; Honorary Professor, UCLVerified email at cohere.com
Philip TorrProfessor, University of OxfordVerified email at eng.ox.ac.uk
Nantas NardelliCarbon ReVerified email at carbonre.com
Minqi JiangUniversity College London & FAIR, Meta AIVerified email at ucl.ac.uk
Michael DennisPhD Candidate, UC BerkeleyVerified email at cs.berkeley.edu
Jean KossaifiSenior Research Scientist at NVIDIAVerified email at nvidia.com
Animesh GargAssistant Professor, University of Toronto, Vector Institute, NvidiaVerified email at cs.toronto.edu
Lei MaoNVIDIAVerified email at nvidia.com
Yuke ZhuAssistant Professor of Computer Science, The University of Texas at AustinVerified email at cs.utexas.edu
Viktor MakoviychukNVIDIAVerified email at nvidia.com

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
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning T Rashid, M Samvelyan, CS De Witt, G Farquhar, J Foerster, S Whiteson ICML 2018, 2018	1301	2018
The StarCraft Multi-Agent Challenge M Samvelyan, T Rashid, CS de Witt, G Farquhar, N Nardelli, TGJ Rudner, ... AAMAS 2019, 2019	527	2019
MAVEN: Multi-Agent Variational Exploration A Mahajan, T Rashid, M Samvelyan, S Whiteson NeurIPS 2019, 2019	240	2019
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	41	2021
Evolving Curricula with Regret-Based Environment Design J Parker-Holder, M Jiang, M Dennis, M Samvelyan, J Foerster, ... ICML 2022, 2022	31	2022
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning A Mahajan, M Samvelyan, L Mao, V Makoviychuk, A Garg, J Kossaifi, ... ICML 2021, 2021	22	2021
Generalization in cooperative multi-agent systems A Mahajan, M Samvelyan, T Gupta, B Ellis, M Sun, T Rocktäschel, ... arXiv preprint arXiv:2202.00104, 2022	6	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	3	2022
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	2	2022
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
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	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
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	1	2021
GriddlyJS: A Web IDE for Reinforcement Learning C Bamford, M Jiang, M Samvelyan, T Rocktäschel NeurIPS 2022, 2022		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		2021

The system can't perform the operation now. Try again later.

Articles 1–16

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors