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Career
·
Head Of Machine Learning
,
Pacific Fusion (Current)
2024–
·
Research Scientist, AI Lead
,
Carbon Re
2021–2024
·
PhD
,
University of Oxford
2016–2021
·
BSc
,
University of Edinburgh
2012–2016
Publications
(24)
Counterfactual Multi-Agent Policy Gradients
AAAI Conference on Artificial Intelligence · 2017
2,378
cited
The StarCraft Multi-Agent Challenge
Adaptive Agents and Multi-Agent Systems · 2019
1,138
cited
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
International Conference on Machine Learning · 2017
647
cited
A Survey of Reinforcement Learning Informed by Natural Language
International Joint Conference on Artificial Intelligence · 2019
304
cited
The NetHack Learning Environment
Neural Information Processing Systems · 2020
210
cited
TorchCraft: a Library for Machine Learning Research on Real-Time Strategy Games
arXiv.org · 2016
109
cited
Playing Doom with SLAM-Augmented Deep Reinforcement Learning
arXiv.org · 2016
70
cited
TorchBeast: A PyTorch Platform for Distributed RL
arXiv.org · 2019
61
cited
MVFST-RL: An Asynchronous RL Framework for Congestion Control with Delayed Actions
arXiv.org · 2019
38
cited
Value Propagation Networks
International Conference on Learning Representations · 2018
28
cited
Multitask Soft Option Learning
Conference on Uncertainty in Artificial Intelligence · 2019
26
cited
Counterfactual reasoning about intent for interactive navigation in dynamic environments
IEEE/RJS International Conference on Intelligent RObots and Systems · 2015
25
cited
WordCraft: An Environment for Benchmarking Commonsense Agents
arXiv.org · 2020
25
cited
Insights From the NeurIPS 2021 NetHack Challenge
Neural Information Processing Systems · 2022
21
cited
Affordable, manageable, practical, and scalable (AMPS) high-yield and high-gain inertial fusion
Physics of Plasmas · 2025
7
cited
Simulation-Based Inference for Global Health Decisions
arXiv.org · 2020
5
cited
Validation of FLASH for magnetically driven inertial confinement fusion target design
Physics of Plasmas · 2025
5
cited
Lessons from reinforcement learning for biological representations of space
Vision Research · 2019
4
cited
The StarCraft Multi-Agent Challenge Extended Abstract
2019
2
cited
Can Reinforcement Learning support policy makers? A preliminary study with Integrated Assessment Models
arXiv.org · 2023
1
cited
Show all 24 papers →
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