Mikayel Samvelyan
Mikayel Samvelyan
Meta AI, UCL
Verified email at - Homepage
Cited by
Cited by
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
The StarCraft Multi-Agent Challenge
M Samvelyan*, T Rashid*, CS de Witt, G Farquhar, N Nardelli, ...
AAMAS 2019, 2019
MAVEN: Multi-Agent Variational Exploration
A Mahajan, T Rashid, M Samvelyan, S Whiteson
NeurIPS 2019, 2019
Evolving Curricula with Regret-Based Environment Design
J Parker-Holder, M Jiang, M Dennis, M Samvelyan, J Foerster, ...
ICML 2022, 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
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
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning
A Mahajan, M Samvelyan, L Mao, V Makoviychuk, A Garg, J Kossaifi, ...
ICML 2021, 2021
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
JaxMARL: Multi-Agent RL Environments in JAX
A Rutherford, B Ellis, M Gallici, J Cook, A Lupu, G Ingvarsson, T Willi, ...
AAMAS 2024, 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
Generalization in Cooperative Multi-Agent Systems
A Mahajan, M Samvelyan, T Gupta, B Ellis, M Sun, T Rocktäschel, ...
arXiv preprint arXiv:2202.00104, 2022
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts
M Samvelyan, SC Raparthy, A Lupu, E Hambro, AH Markosyan, M Bhatt, ...
SeT LLMs @ ICLR 2024, 2024
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
GriddlyJS: A Web IDE for Reinforcement Learning
C Bamford, M Jiang, M Samvelyan, T Rocktäschel
NeurIPS 2022, 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
Hierarchical Kickstarting for Skill Transfer in Reinforcement Learning
M Matthews, M Samvelyan, J Parker-Holder, E Grefenstette, ...
CoLLAs 2022, 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
Mix-ME: Quality-Diversity for Multi-Agent Learning
G Ingvarsson, M Samvelyan, B Lim, M Flageat, A Cully, T Rocktäschel
ALOE @ NeurIPS 2023, 2023
Pax: Multi-Agent Learning in Jax
T Willi, A Khan, N Kwan, M Samvelyan, C Lu, J Foerster
GitHub Repository, 2023
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
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Articles 1–20