Sotabase

Career

· Senior Staff Research Scientist, Waymo2023–
· Staff Research Scientist, Waymo2019–
· Chief Scientist, Latent Logic2017–2019
· Professor, Department of Computer Science, University of Oxford2015–
· Associate Professor, University of Amsterdam2007–2015
· PhD, Computer Science (Machine Learning), The University of Texas at Austin2000–2007
· BA, English & Computer Science, Rice University1996–2000

Publications (277)

Counterfactual Multi-Agent Policy Gradients
AAAI Conference on Artificial Intelligence · 2017
2,378
cited
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
International Conference on Machine Learning · 2018
1,887
cited
Learning to Communicate with Deep Multi-Agent Reinforcement Learning
Neural Information Processing Systems · 2016
1,776
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
A Survey of Multi-Objective Sequential Decision-Making
Journal of Artificial Intelligence Research · 2013
742
cited
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
International Conference on Machine Learning · 2017
647
cited
Learning with Opponent-Learning Awareness
Adaptive Agents and Multi-Agent Systems · 2017
582
cited
Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?
arXiv.org · 2020
483
cited
LipNet: End-to-End Sentence-level Lipreading
2016
449
cited
Weighted QMIX: Expanding Monotonic Value Function Factorisation
Neural Information Processing Systems · 2020
433
cited
Fast Context Adaptation via Meta-Learning
International Conference on Machine Learning · 2018
410
cited
MAVEN: Multi-Agent Variational Exploration
Neural Information Processing Systems · 2019
408
cited
FACMAC: Factored Multi-Agent Centralised Policy Gradients
Neural Information Processing Systems · 2020
329
cited
Evolutionary Function Approximation for Reinforcement Learning
Journal of machine learning research · 2006
309
cited
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning
International Conference on Learning Representations · 2019
306
cited
A Survey of Reinforcement Learning Informed by Natural Language
International Joint Conference on Artificial Intelligence · 2019
304
cited
Deep Variational Reinforcement Learning for POMDPs
International Conference on Machine Learning · 2018
288
cited
RODE: Learning Roles to Decompose Multi-Agent Tasks
International Conference on Learning Representations · 2020
259
cited
Multiagent Reinforcement Learning for Urban Traffic Control Using Coordination Graphs
ECML/PKDD · 2008
254
cited
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