2026 Jakob Foerster: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	32	12873	12494	819	806	110	9305

Overview

Jakob Foerster is affiliated with the University of Oxford in the United Kingdom and specializes in computer science with a focus on artificial intelligence and related subfields. Their research portfolio consists of 138 publications primarily in computer science, including 108 specifically on artificial intelligence, 20 on management science and operations research, and others in computer vision and pattern recognition, computational theory and mathematics, as well as economics and econometrics.

Their work covers a range of topics with notable emphasis on reinforcement learning in robotics, topic modeling, adversarial robustness in machine learning, explainable artificial intelligence (XAI), artificial intelligence in games, advanced bandit algorithms research, and machine learning and data classification.

Jakob Foerster has a significant number of frequent co-authors including Chris Xiaoxuan Lu, Shimon Whiteson, Christian Schroeder de Witt, Tim Rocktäschel, and Timon Willi. These collaborations span many papers and research projects.

The scientist frequently publishes in venues including arXiv (Cornell University) with 119 publications, the Proceedings of the AAAI Conference on Artificial Intelligence with 2 publications, SSRN Electronic Journal, Machine Learning Science and Technology, and Frontiers in Robotics and AI.

Among recent papers published, the following stand out:

Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning (2020), arXiv (Cornell University)
Exploratory Combinatorial Optimization with Reinforcement Learning (2020), Proceedings of the AAAI Conference on Artificial Intelligence
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery (2024), arXiv (Cornell University)
"Other-Play" for Zero-Shot Coordination (2020), arXiv (Cornell University)
On the interaction between supervision and self-play in emergent communication (2020), arXiv (Cornell University)

Best Publications

Counterfactual Multi-Agent Policy Gradients

Jakob Foerster;Gregory Farquhar;Triantafyllos Afouras;Nantas Nardelli

1279
Citations
Learning to Communicate with Deep Multi-Agent Reinforcement Learning

Jakob N. Foerster;Yannis M. Assael;Nando de Freitas;Shimon Whiteson

1149
Citations
Learning to Communicate with Deep Multi−Agent Reinforcement Learning

Jakob Foerster;Ioannis Alexandros Assael;Nando de Freitas;Shimon Whiteson

893
Citations
Counterfactual Multi−Agent Policy Gradients

Jakob N. Foerster;Gregory Farquhar;Triantafyllos Afouras;Nantas Nardelli

670
Citations
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

Tabish Rashid;Mikayel Samvelyan;Christian Schroeder;Gregory Farquhar

564
Citations
Stabilising experience replay for deep multi-agent reinforcement learning

Jakob Foerster;Nantas Nardelli;Gregory Farquhar;Triantafyllos Afouras

489
Citations
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

Tabish Rashid;Mikayel Samvelyan;Christian Schroeder de Witt;Gregory Farquhar

463
Citations
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

Tabish Rashid;Mikayel Samvelyan;Christian Schröder de Witt;Gregory Farquhar

426
Citations
Learning with Opponent-Learning Awareness

Jakob Foerster;Richard Y. Chen;Maruan Al-Shedivat;Shimon Whiteson

335
Citations
Three-dimensional head-direction coding in the bat brain

Arseny Finkelstein;Dori Derdikman;Alon Rubin;Jakob N. Foerster;Jakob N. Foerster

311
Citations
The Hanabi Challenge: A New Frontier for AI Research

Nolan Bard;Jakob N. Foerster;Sarath Chandar;Neil Burch

254
Citations
The Mechanics of n-Player Differentiable Games

David Balduzzi;Sébastien Racanière;James Martens;Jakob N. Foerster

200
Citations
The StarCraft Multi-Agent Challenge

Mikayel Samvelyan;Tabish Rashid;Christian Schroeder de Witt;Gregory Farquhar

195
Citations
A Survey of Reinforcement Learning Informed by Natural Language

Jelena Luketina;Nantas Nardelli;Nantas Nardelli;Gregory Farquhar;Gregory Farquhar;Jakob N. Foerster

180
Citations
Exploratory Combinatorial Optimization with Reinforcement Learning

Thomas D. Barrett;William R. Clements;Jakob N. Foerster;A. I. Lvovsky

154
Citations
Learning to Communicate to Solve Riddles with Deep Distributed Recurrent Q-Networks

Jakob N. Foerster;Yannis M. Assael;Nando de Freitas;Shimon Whiteson

140
Citations
On the Pitfalls of Measuring Emergent Communication

Ryan Lowe;Jakob Foerster;Y-Lan Boureau;Joelle Pineau

80
Citations
Multi-Agent Common Knowledge Reinforcement Learning

Christian A. Schroeder de Witt;Jakob N. Foerster;Gregory Farquhar;Philip H. S. Torr

72
Citations
Stable Opponent Shaping in Differentiable Games

Alistair Letcher;Jakob N. Foerster;David Balduzzi;Tim Rocktäschel

61
Citations
Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning

Jakob N. Foerster;H. Francis Song;Edward Hughes;Neil Burch

59
Citations
Differentiable Game Mechanics

Alistair Letcher;David Balduzzi;Sébastien Racanière;James Martens

43
Citations

Frequent Co-Authors

Shimon Whiteson University of Oxford

Tim Rocktäschel University College London

Philip H. S. Torr University of Oxford

Joelle Pineau McGill University

Edward Grefenstette University College London

Kyunghyun Cho New York University

Douwe Kiela Stanford University

Thore Graepel University College London

Karl Tuyls DeepMind (United Kingdom)

Francoise Beaufays Google (United States)

External Links

Personal website of Jakob Foerster

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