Mikayel Samvelyan

39 papers A* 10A 3Journal 23Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Robust Agents in Open-Ended Worlds. CoRR Mikayel Samvelyan
2025	J	`jnl`	SPARQ: Synthetic Problem Generation for Reasoning via Quality-Diversity Algorithms. CoRR Alex Havrilla, Edward Hughes, Mikayel Samvelyan, Jacob D. Abernethy
2024	A*	`conf`	Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning. ICML Michael T. Matthews, Michael Beukman, Benjamin Ellis, Mikayel Samvelyan, Matthew Thomas Jackson, Samuel Coward, Jakob Nicolaus Foerster
2024	J	`jnl`	Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning. CoRR Michael T. Matthews, Michael Beukman, Benjamin Ellis, Mikayel Samvelyan, Matthew Thomas Jackson, Samuel Coward, Jakob N. Foerster
2024	A	`conf`	JaxMARL: Multi-Agent RL Environments and Algorithms in JAX. AAMAS Alexander Rutherford, Benjamin Ellis, Matteo Gallici, Jonathan Cook, Andrei Lupu, Garðar Ingvarsson, Timon Willi, Akbir Khan, Christian Schröder de Witt, Alexandra Souly, Saptarashmi Bandyopadhyay, Mikayel Samvelyan, Minqi Jiang, Robert T. Lange, Shimon Whiteson, Bruno Lacerda, Nick Hawes, Tim Rocktäschel, Chris Lu, Jakob N. Foerster
2024	A*	`conf`	JaxMARL: Multi-Agent RL Environments and Algorithms in JAX. NeurIPS Alexander Rutherford, Benjamin Ellis, Matteo Gallici, Jonathan Cook, Andrei Lupu, Garðar Ingvarsson, Timon Willi, Ravi Hammond, Akbir Khan, Christian Schröder de Witt, Alexandra Souly, Saptarashmi Bandyopadhyay, Mikayel Samvelyan, Minqi Jiang, Robert T. Lange, Shimon Whiteson, Bruno Lacerda, Nick Hawes, Tim Rocktäschel, Chris Lu, Jakob N. Foerster
2024	A	`conf`	Multi-Agent Diagnostics for Robustness via Illuminated Diversity. AAMAS Mikayel Samvelyan, Davide Paglieri, Minqi Jiang, Jack Parker-Holder, Tim Rocktäschel
2024	J	`jnl`	Multi-Agent Diagnostics for Robustness via Illuminated Diversity. CoRR Mikayel Samvelyan, Davide Paglieri, Minqi Jiang, Jack Parker-Holder, Tim Rocktäschel
2024	A*	`conf`	Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts. NeurIPS Mikayel Samvelyan, Sharath Chandra Raparthy, Andrei Lupu, Eric Hambro, Aram H. Markosyan, Manish Bhatt, Yuning Mao, Minqi Jiang, Jack Parker-Holder, Jakob N. Foerster, Tim Rocktäschel, Roberta Raileanu
2024	J	`jnl`	Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts. CoRR Mikayel Samvelyan, Sharath Chandra Raparthy, Andrei Lupu, Eric Hambro, Aram H. Markosyan, Manish Bhatt, Yuning Mao, Minqi Jiang, Jack Parker-Holder, Jakob N. Foerster, Tim Rocktäschel, Roberta Raileanu
2023	J	`jnl`	JaxMARL: Multi-Agent RL Environments in JAX. CoRR Alexander Rutherford, Benjamin Ellis, Matteo Gallici, Jonathan Cook, Andrei Lupu, Garðar Ingvarsson, Timon Willi, Akbir Khan, Christian Schröder de Witt, Alexandra Souly, Saptarashmi Bandyopadhyay, Mikayel Samvelyan, Minqi Jiang, Robert Tjarko Lange, Shimon Whiteson, Bruno Lacerda, Nick Hawes, Tim Rocktäschel, Chris Lu, Jakob Nicolaus Foerster
2023	A*	`conf`	MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning. ICLR Mikayel Samvelyan, Akbir Khan, Michael Dennis, Minqi Jiang, Jack Parker-Holder, Jakob Nicolaus Foerster, Roberta Raileanu, Tim Rocktäschel
2023	J	`jnl`	MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning. CoRR Mikayel Samvelyan, Akbir Khan, Michael Dennis, Minqi Jiang, Jack Parker-Holder, Jakob N. Foerster, Roberta Raileanu, Tim Rocktäschel
2023	J	`jnl`	Mix-ME: Quality-Diversity for Multi-Agent Learning. CoRR Garðar Ingvarsson, Mikayel Samvelyan, Bryan Lim, Manon Flageat, Antoine Cully, Tim Rocktäschel
2023	A*	`conf`	SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning. NeurIPS Benjamin Ellis, Jonathan Cook, Skander Moalla, Mikayel Samvelyan, Mingfei Sun, Anuj Mahajan, Jakob N. Foerster, Shimon Whiteson
2022	A*	`conf`	Evolving Curricula with Regret-Based Environment Design. ICML Jack Parker-Holder, Minqi Jiang, Michael Dennis, Mikayel Samvelyan, Jakob N. Foerster, Edward Grefenstette, Tim Rocktäschel
2022	J	`jnl`	Evolving Curricula with Regret-Based Environment Design. CoRR Jack Parker-Holder, Minqi Jiang, Michael Dennis, Mikayel Samvelyan, Jakob N. Foerster, Edward Grefenstette, Tim Rocktäschel
2022	J	`jnl`	Generalization in Cooperative Multi-Agent Systems. CoRR Anuj Mahajan, Mikayel Samvelyan, Tarun Gupta, Benjamin Ellis, Mingfei Sun, Tim Rocktäschel, Shimon Whiteson
2022	A*	`conf`	GriddlyJS: A Web IDE for Reinforcement Learning. NeurIPS Christopher Bamford, Minqi Jiang, Mikayel Samvelyan, Tim Rocktäschel
2022	J	`jnl`	GriddlyJS: A Web IDE for Reinforcement Learning. CoRR Christopher Bamford, Minqi Jiang, Mikayel Samvelyan, Tim Rocktäschel
2022	—	`conf`	Hierarchical Kickstarting for Skill Transfer in Reinforcement Learning. CoLLAs Michael T. Matthews, Mikayel Samvelyan, Jack Parker-Holder, Edward Grefenstette, Tim Rocktäschel
2022	J	`jnl`	Hierarchical Kickstarting for Skill Transfer in Reinforcement Learning. CoRR Michael T. Matthews, Mikayel Samvelyan, Jack Parker-Holder, Edward Grefenstette, Tim Rocktäschel
2022	J	`jnl`	Insights From the NeurIPS 2021 NetHack Challenge. CoRR Eric Hambro, Sharada P. Mohanty, Dmitrii Babaev, Minwoo Byeon, Dipam Chakraborty, Edward Grefenstette, Minqi Jiang, DaeJin Jo, Anssi Kanervisto, Jongmin Kim, Sungwoong Kim, Robert Kirk, Vitaly Kurin, Heinrich Küttler, Taehwon Kwon, Donghoon Lee, Vegard Mella, Nantas Nardelli, Ivan Nazarov, Nikita Ovsov, Jack Parker-Holder, Roberta Raileanu, Karolis Ramanauskas, Tim Rocktäschel, Danielle Rothermel, Mikayel Samvelyan, Dmitry Sorokin, Maciej Sypetkowski, Michal Sypetkowski
2022	J	`jnl`	SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning. CoRR Benjamin Ellis, Skander Moalla, Mikayel Samvelyan, Mingfei Sun, Anuj Mahajan, Jakob N. Foerster, Shimon Whiteson
2021	—	`conf`	Insights From the NeurIPS 2021 NetHack Challenge. NeurIPS (Competition and Demos) Eric Hambro, Sharada P. Mohanty, Dmitrii Babaev, Minwoo Byeon, Dipam Chakraborty, Edward Grefenstette, Minqi Jiang, DaeJin Jo, Anssi Kanervisto, Jongmin Kim, Sungwoong Kim, Robert Kirk, Vitaly Kurin, Heinrich Küttler, Taehwon Kwon, Donghoon Lee, Vegard Mella, Nantas Nardelli, Ivan Nazarov, Nikita Ovsov, Jack Parker-Holder, Roberta Raileanu, Karolis Ramanauskas, Tim Rocktäschel, Danielle Rothermel, Mikayel Samvelyan, Dmitry Sorokin, Maciej Sypetkowski, Michal Sypetkowski
2021	—	`conf`	MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research. NeurIPS Datasets and Benchmarks Mikayel Samvelyan, Robert Kirk, Vitaly Kurin, Jack Parker-Holder, Minqi Jiang, Eric Hambro, Fabio Petroni, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel
2021	J	`jnl`	MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research. CoRR Mikayel Samvelyan, Robert Kirk, Vitaly Kurin, Jack Parker-Holder, Minqi Jiang, Eric Hambro, Fabio Petroni, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel
2021	J	`jnl`	Reinforcement Learning in Factored Action Spaces using Tensor Decompositions. CoRR Anuj Mahajan, Mikayel Samvelyan, Lei Mao, Viktor Makoviychuk, Animesh Garg, Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Animashree Anandkumar
2021	A*	`conf`	Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning. ICML Anuj Mahajan, Mikayel Samvelyan, Lei Mao, Viktor Makoviychuk, Animesh Garg, Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Animashree Anandkumar
2021	J	`jnl`	Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning. CoRR Anuj Mahajan, Mikayel Samvelyan, Lei Mao, Viktor Makoviychuk, Animesh Garg, Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Animashree Anandkumar
2020	J	`jnl`	Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning. CoRR Tabish Rashid, Mikayel Samvelyan, Christian Schröder de Witt, Gregory Farquhar, Jakob N. Foerster, Shimon Whiteson
2020	J	`jnl`	Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning. J. Mach. Learn. Res. Tabish Rashid, Mikayel Samvelyan, Christian Schröder de Witt, Gregory Farquhar, Jakob N. Foerster, Shimon Whiteson
2019	A*	`conf`	MAVEN: Multi-Agent Variational Exploration. NeurIPS Anuj Mahajan, Tabish Rashid, Mikayel Samvelyan, Shimon Whiteson
2019	J	`jnl`	MAVEN: Multi-Agent Variational Exploration. CoRR Anuj Mahajan, Tabish Rashid, Mikayel Samvelyan, Shimon Whiteson
2019	A	`conf`	The StarCraft Multi-Agent Challenge. AAMAS Mikayel Samvelyan, Tabish Rashid, Christian Schröder de Witt, Gregory Farquhar, Nantas Nardelli, Tim G. J. Rudner, Chia-Man Hung, Philip H. S. Torr, Jakob N. Foerster, Shimon Whiteson
2019	J	`jnl`	The StarCraft Multi-Agent Challenge. CoRR Mikayel Samvelyan, Tabish Rashid, Christian Schröder de Witt, Gregory Farquhar, Nantas Nardelli, Tim G. J. Rudner, Chia-Man Hung, Philip H. S. Torr, Jakob N. Foerster, Shimon Whiteson
2018	A*	`conf`	QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning. ICML Tabish Rashid, Mikayel Samvelyan, Christian Schröder de Witt, Gregory Farquhar, Jakob N. Foerster, Shimon Whiteson
2018	J	`jnl`	QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning. CoRR Tabish Rashid, Mikayel Samvelyan, Christian Schröder de Witt, Gregory Farquhar, Jakob N. Foerster, Shimon Whiteson
2015	J	`jnl`	Random Irregular Block-hierarchical Networks: Algorithms for Computation of Main Properties. CoRR Mikayel Samvelyan, Svetlana Avetisyan