Mikayel Samvelyan

According to our database1, Mikayel Samvelyan authored at least 21 papers between 2015 and 2024.

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Bibliography

2024
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts.
CoRR, 2024

Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning.
CoRR, 2024

Multi-Agent Diagnostics for Robustness via Illuminated Diversity.
CoRR, 2024

2023
JaxMARL: Multi-Agent RL Environments in JAX.
CoRR, 2023

Mix-ME: Quality-Diversity for Multi-Agent Learning.
CoRR, 2023

SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning.
CoRR, 2022

Generalization in Cooperative Multi-Agent Systems.
CoRR, 2022

GriddlyJS: A Web IDE for Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Evolving Curricula with Regret-Based Environment Design.
Proceedings of the International Conference on Machine Learning, 2022

Hierarchical Kickstarting for Skill Transfer in Reinforcement Learning.
Proceedings of the Conference on Lifelong Learning Agents, 2022

2021
Reinforcement Learning in Factored Action Spaces using Tensor Decompositions.
CoRR, 2021

MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021


Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning.
J. Mach. Learn. Res., 2020

2019
MAVEN: Multi-Agent Variational Exploration.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

The StarCraft Multi-Agent Challenge.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning.
Proceedings of the 35th International Conference on Machine Learning, 2018

2015
Random Irregular Block-hierarchical Networks: Algorithms for Computation of Main Properties.
CoRR, 2015


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