Sotabase

Career

· Senior Research Scientist, Google DeepMind2024–
· Teaching Assistant, UCL2021–2024
· Research Engineer, Information Sciences Institute2020–2020
· Research Assistant, Meta2020–2024
· Doctor of Philosophy - PhD Computer Science, UCL2020–2024
· Doctor of Philosophy - PhD, Computer Science, UCL2020–2024
· Machine Learning Engineer, Reddit, Inc.2019–2019
· Machine Learning Engineer, Toptal2018–2020
· Doctor of Philosophy - PhD Computer Science, UCL2016–2017
· Research And Development Engineer, Mentor Graphics2014–2016
· Software Engineering Intern, Instigate Design CJSC2012–2012
· Software Engineer, Instigate Robotics CJSC2012–2013

Publications (52)

The Llama 3 Herd of Models
2024
12,282
cited
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
International Conference on Machine Learning · 2018
1,887
cited
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
Journal of machine learning research · 2020
1,190
cited
The StarCraft Multi-Agent Challenge
Adaptive Agents and Multi-Agent Systems · 2019
1,138
cited
MAVEN: Multi-Agent Variational Exploration
Neural Information Processing Systems · 2019
408
cited
Evolving Curricula with Regret-Based Environment Design
International Conference on Machine Learning · 2022
166
cited
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts
Neural Information Processing Systems · 2024
158
cited
SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning
Neural Information Processing Systems · 2022
136
cited
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
NeurIPS Datasets and Benchmarks · 2021
105
cited
Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning
International Conference on Machine Learning · 2024
62
cited
JaxMARL: Multi-Agent RL Environments and Algorithms in JAX
Adaptive Agents and Multi-Agent Systems · 2023
54
cited
JaxMARL: Multi-Agent RL Environments in JAX
arXiv.org · 2023
38
cited
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning
International Conference on Machine Learning · 2021
38
cited
MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning
International Conference on Learning Representations · 2023
36
cited
Generalization in Cooperative Multi-Agent Systems
arXiv.org · 2022
24
cited
Insights From the NeurIPS 2021 NetHack Challenge
Neural Information Processing Systems · 2022
21
cited
SHADES: Towards a Multilingual Assessment of Stereotypes in Large Language Models
North American Chapter of the Association for Computational Linguistics · 2025
12
cited
Reinforcement Learning in Factored Action Spaces using Tensor Decompositions
arXiv.org · 2021
9
cited
Hierarchical Kickstarting for Skill Transfer in Reinforcement Learning
CoLLAs · 2022
8
cited
GriddlyJS: A Web IDE for Reinforcement Learning
Neural Information Processing Systems · 2022
6
cited
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