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Jakob N. Foerster — most-cited papers & profile · Reinforcement Learning
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overview
Jakob N. Foerster
14
papers ·
1713
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Learning to Communicate with Deep Multi-Agent Reinforcement Learning
2016 · 871 citations
Learning with Opponent-Learning Awareness
2017 · 602 citations
Multi-Agent Common Knowledge Reinforcement Learning
2018 · 51 citations
Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning
2018 · 50 citations
Exploratory Combinatorial Optimization with Reinforcement Learning
2019 · 21 citations
Robust Visual Domain Randomization for Reinforcement Learning
2019 · 7 citations
Influencing Long-Term Behavior in Multiagent Reinforcement Learning
2022 · 5 citations
An Optimisation Framework for Unsupervised Environment Design
2025
SOReL and TOReL: Two Methods for Fully Offline Reinforcement Learning
2025
Game-Theoretical Perspectives on Active Equilibria: A Preferred Solution Concept over Nash Equilibria
2022
Discovering Minimal Reinforcement Learning Environments
2024
Beyond the Boundaries of Proximal Policy Optimization
2024
Top co-authors
Shimon Whiteson
· 3
Dong-Ki Kim
· 2
Gerald Tesauro
· 2
Jonathan P. How
· 2
Matthew Riemer
· 2
William R. Clements
· 2
A. I. Lvovsky
· 1
Alexander D. Goldie
· 1
Alexander Rutherford
· 1
Alistair Letcher
· 1
Andrei Lupu
· 1
Benjamin Ellis
· 1
Topics
Game AI
Multi-Agent
Model-Based RL
Exploration
Policy Gradient
Value-Based
Safe RL
Meta-RL
Offline RL