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Jakob Foerster — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Jakob Foerster
54
papers ·
1519
citations ·
30
h-index
University of Oxford · Science Oxford
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Semantic Scholar ↗
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Most-cited papers
The StarCraft Multi-Agent Challenge
2019 · 1210 citations
A Survey of Reinforcement Learning Informed by Natural Language
2019 · 308 citations
JaxMARL-HFT: GPU-Accelerated Large-Scale Multi-Agent Reinforcement Learning for High-Frequency Trading
2025 · 1 citations
Modelling Opinion Dynamics at Scale with Deep MARL
2026
Recurrent Structural Policy Gradient for Partially Observable Mean Field Games
2026
DéjàQ: Open-Ended Evolution of Diverse, Learnable and Verifiable Problems
2026
High entropy leads to symmetry-equivariant policies in Dec-POMDPs
2025
The Yokai Learning Environment: Tracking Beliefs Over Space and Time
2025
Learning to Reason at the Frontier of Learnability
2025
MLGym: A New Framework and Benchmark for Advancing AI Research Agents
2025
Improving Policies via Search in Cooperative Partially Observable Games
2019
On the interaction between supervision and self-play in emergent communication
2020
Off-Belief Learning
2021
Learned Belief Search: Efficiently Improving Policies in Partially Observable Settings
2021
Generalized Beliefs for Cooperative AI
2022
Top co-authors
Adam Lerer
· 4
Hengyuan Hu
· 4
Johannes Forkel
· 4
Noam Brown
· 4
Chris Lu
· 3
Christian Schroeder de Witt
· 3
Shimon Whiteson
· 3
Andreas Bulling
· 2
Andrei Lupu
· 2
Constantin Ruhdorfer
· 2
Gregory Farquhar
· 2
Michael Beukman
· 2
Topics
cs.AI
cs.LG
cs.MA
Game AI
Multi-Agent
cs.GT
cs.CL
RLHF & Alignment
q-fin.TR
cs.SI