Mikayel
Samvelyan

@misc{samvelyan_thesis,
      title={Robust Agents in Open-Ended Worlds},
      author={Mikayel Samvelyan},
      year={2025},
      eprint={2512.08139},
      archivePrefix={arXiv},
      primaryClass={cs.LG},
      url={https://arxiv.org/abs/2512.08139},
}

@inproceedings{llama3,
   title={The Llama 3 Herd of Models},
   author={Llama Team},
   year={2024},
   url={https://llama.meta.com/}
}

@misc{samvelyan2024rainbow,
   title={Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts},
   author={Mikayel Samvelyan and Sharath Chandra Raparthy and Andrei Lupu and Eric Hambro and Aram H. Markosyan and Manish Bhatt and Yuning Mao and Minqi Jiang and Jack Parker-Holder and Jakob Foerster and Tim Rocktäschel and Roberta Raileanu},
   year={2024},
   eprint={2402.16822},
   archivePrefix={arXiv},
   primaryClass={cs.CL}
}

@misc{samvelyan2024multiagent,
   title={Multi-Agent Diagnostics for Robustness via Illuminated Diversity},
   author={Mikayel Samvelyan and Davide Paglieri and Minqi Jiang and Jack Parker-Holder and Tim Rocktäschel},
   year={2024},
   eprint={2401.13460},
   archivePrefix={arXiv},
   primaryClass={cs.LG}
}

@inproceedings{samvelyan2023maestro,
   title={{MAESTRO}: Open-Ended Environment Design for Multi-Agent Reinforcement Learning},
   author={Mikayel Samvelyan and Akbir Khan and Michael D Dennis and Minqi Jiang and Jack Parker-Holder and Jakob Nicolaus Foerster and Roberta Raileanu and Tim Rockt{\"a}schel},
   booktitle={International Conference on Learning Representations},
   year={2023},
   url={https://openreview.net/forum?id=sKWlRDzPfd7}
}

@inproceedings{samvelyan2021minihack,
   title={MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research},
   author={Mikayel Samvelyan and Robert Kirk and Vitaly Kurin and Jack Parker-Holder and Minqi Jiang and Eric Hambro and Fabio Petroni and Heinrich Kuttler and Edward Grefenstette and Tim Rockt{\"a}schel},
   booktitle={Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 1)},
   year={2021},
   url={https://openreview.net/forum?id=skFwlyefkWJ}
}

@article{rashid20monotonic,
   author  = {Tabish Rashid and Mikayel Samvelyan and Christian Schroeder de Witt and Gregory Farquhar and Jakob Foerster and Shimon Whiteson},
   title   = {Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning},
   journal = {Journal of Machine Learning Research},
   year    = {2020},
   volume  = {21},
   number  = {178},
   pages   = {1--51},
}

@inproceedings{samvelyan2019smac,
   title = {{The} {StarCraft} {Multi}-{Agent} {Challenge}},
   author = {Samvelyan, Mikayel and Rashid, Tabish and Schroeder de Witt, Christian and Farquhar, Gregory and Nardelli, Nantas and Rudner, Tim G. J. and Hung, Chia-Man and Torr, Philip H. S. and Foerster, Jakob and Whiteson, Shimon},
   booktitle = {Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems},
   pages = {2186--2188},
   year = {2019},
}

@inproceedings{rashid18qmix,
   title = {{QMIX}: {Monotonic} {Value} {Function} {Factorisation} {for} {Deep} {Multi}-{Agent} {Reinforcement} {Learning}},
   author = {Rashid, Tabish and Samvelyan, Mikayel and Schroeder, Christian and Farquhar, Gregory and Foerster, Jakob and Whiteson, Shimon},
   booktitle = {Proceedings of the 35th International Conference on Machine Learning},
   publisher = {PMLR},
   volume = {80},
   pages = {4295--4304},
   year = {2018},
}

@misc{havrilla2025sparq,
      title={SPARQ: Synthetic Problem Generation for Reasoning via Quality-Diversity Algorithms},
      author={Alex Havrilla and Edward Hughes and Mikayel Samvelyan and Jacob Abernethy},
      year={2025},
      eprint={2506.06499},
      archivePrefix={arXiv},
      primaryClass={cs.LG},
      url={https://arxiv.org/abs/2506.06499},
}

@misc{rutherford2023jaxmarl,
   title={JaxMARL: Multi-Agent RL Environments in JAX},
   author={Alexander Rutherford and Benjamin Ellis and Matteo Gallici and Jonathan Cook and Andrei Lupu and Gardar Ingvarsson and Timon Willi and Akbir Khan and Christian Schroeder de Witt and Alexandra Souly and Saptarashmi Bandyopadhyay and Mikayel Samvelyan and Minqi Jiang and Robert Tjarko Lange and Shimon Whiteson and Bruno Lacerda and Nick Hawes and Tim Rocktaschel and Chris Lu and Jakob Nicolaus Foerster},
   year={2023},
   eprint={2311.10090},
   archivePrefix={arXiv},
   primaryClass={cs.LG}
}

@article{matthews2024craftax,
   title={Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning},
   author={Michael Matthews and Michael Beukman and Benjamin Ellis and Mikayel Samvelyan and Matthew Jackson and Samuel Coward and Jakob Foerster},
   journal={arXiv preprint},
   year={2024},
}

 @inproceedings{ellis2023smacv2,
    title={{SMAC}v2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning},
    author={Benjamin Ellis and Jonathan Cook and Skander Moalla and Mikayel Samvelyan and Mingfei Sun and Anuj Mahajan and Jakob Nicolaus Foerster and Shimon Whiteson},
    booktitle={Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track},
    year={2023},
    url={https://openreview.net/forum?id=5OjLGiJW3u}
}

@inproceedings{ingvarsson2023mixme,
   title={Mix-{ME}: Quality-Diversity for Multi-Agent Learning},
   author={Gar{\dh}ar Ingvarsson and Mikayel Samvelyan and Manon Flageat and Bryan Lim and Antoine Cully and Tim Rockt{\"a}schel},
   booktitle={Second Agent Learning in Open-Endedness Workshop},
   year={2023},
   url={https://openreview.net/forum?id=acD8BxMjwV}
}

@inproceedings{bamford2022griddlyjs,
   title={Griddly{JS}: A Web {IDE} for Reinforcement Learning},
   author={Christopher Bamford and Minqi Jiang and Mikayel Samvelyan and Tim Rockt{\"a}schel},
   booktitle={Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track},
   year={2022},
   url={https://openreview.net/forum?id=YmacJv0i_UR}
}

@article{parkerholder2022evolving,
   title={Evolving Curricula with Regret-Based Environment Design},
   author={Parker-Holder, Jack and Jiang, Minqi and Dennis, Michael D and Samvelyan, Mikayel and Foerster, Jakob Nicolaus and Grefenstette, Edward and Rockt{\"a}schel, Tim},
   journal={arXiv preprint arXiv:2203.01302},
   year={2022}
}

@misc{matthews2022hierarchical,
   url = {https://arxiv.org/abs/2207.11584},
   author = {Matthews, Michael and Samvelyan, Mikayel and Parker-Holder, Jack and Grefenstette, Edward and Rocktäschel, Tim},
   keywords = {Machine Learning (cs.LG), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
   title = {Hierarchical Kickstarting for Skill Transfer in Reinforcement Learning},
   publisher = {arXiv},
   year = {2022},
}

@article{mahajan2022generalization,
   title={Generalization in Cooperative Multi-Agent Systems},
   author={Mahajan, Anuj and Samvelyan, Mikayel and Gupta, Tarun and Ellis, Benjamin and Sun, Mingfei and Rockt{\"a}schel, Tim and Whiteson, Shimon},
   journal={arXiv preprint arXiv:2202.00104},
   year={2022},
}

@inproceedings{mahajan2021tesseract,
   title = {Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning},
   author = {Mahajan, Anuj and Samvelyan, Mikayel and Mao, Lei and Makoviychuk, Viktor and Garg, Animesh and Kossaifi, Jean and Whiteson, Shimon and Zhu, Yuke and Anandkumar, Animashree},
   booktitle = {Proceedings of the 38th International Conference on Machine Learning},
   publisher = {PMLR},
   volume = {139},
   pages = {7301--7312},
   year = {2021},
}

@incollection{mahajan2019maven,
   title = {{MAVEN}: {Multi}-{Agent} {Variational} {Exploration}},
   author = {Mahajan, Anuj and Rashid, Tabish and Samvelyan, Mikayel and Whiteson, Shimon},
   booktitle = {Advances in Neural Information Processing Systems 32},
   pages = {7611--7622},
   year = {2019},
}