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Jakob Foerster

54 papers · 2016–2025 · 9 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐝 Cross-Pollinator (10) πŸƒ Academic Marathon (9) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (9) 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (24) 🌟 Keyword Trendsetter Combo (3) 🏠 Conference Loyalist (26) πŸ† Grand Slam πŸ‘₯ Mega-Team (21) πŸ‘‘ Triple Crown πŸ”¬ Deep Specialist (19) πŸ† Keyword Champion (3) 🧬 Topic Evolution 🀝 Dynamic Duo (17) ⚑ Prolific Year (9) πŸ’Ž Century Club (54) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (87) πŸ”₯ Unstoppable (10)

Conferences

NIPS (26) ICML (16) AAAI (2) ACL (2) ICLR (2) IJCAI (2) JMLR (2) EMNLP (1) UAI (1)

Top co-authors

Shimon Whiteson (17) Tim RocktΓ€schel (9) Hengyuan Hu (8) Chris Lu (8) Gregory Farquhar (8) Minqi Jiang (7) Andrei Lupu (7) Jack Parker-Holder (6) Christian Schroeder de Witt (6) Mikayel Samvelyan (6)

Keywords

multi-agent system (14) multi-agent reinforcement learning (14) reinforcement learning (12) zero-shot coordination (8) game theory (7) deep reinforcement learning (5) multi-agent learning (5) large language model (5) cooperative game (4) curriculum learning (4) partial observability (3) theory of mind (3) unsupervised environment design (3) policy optimization (3) imitation learning (3) gradient descent (3) decentralized policy (3) generative adversarial network (2) adversarial learning (2) policy improvement (2)

Papers

Combining Code Generating Large Language Models and Self-Play to Iteratively Refine Strategies in Games IJCAI 2025
Computing Low-Entropy Couplings for Large-Support Distributions UAI 2024
Artificial Generational Intelligence: Cultural Accumulation in Reinforcement Learning NIPS 2024
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts NIPS 2024
Discovering Preference Optimization Algorithms with and for Large Language Models NIPS 2024
HelloFresh: LLM Evalutions on Streams of Real-World Human Editorial Actions across X Community Notes and Wikipedia edits ACL 2024
Recurrent Reinforcement Learning with Memoroids NIPS 2024
No Regrets: Investigating and Improving Regret Approximations for Curriculum Discovery NIPS 2024
JaxMARL: Multi-Agent RL Environments and Algorithms in JAX NIPS 2024
BAM! Just Like That: Simple and Efficient Parameter Upcycling for Mixture of Experts NIPS 2024
SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning NIPS 2023
Structured State Space Models for In-Context Reinforcement Learning NIPS 2023
Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design NIPS 2023
Similarity-based cooperative equilibrium NIPS 2023
Generalized Beliefs for Cooperative AI ICML 2022
Mirror Learning: A Unifying Framework of Policy Optimisation ICML 2022
COLA: Consistent Learning with Opponent-Learning Awareness ICML 2022
Communicating via Markov Decision Processes ICML 2022
Nocturne: a scalable driving benchmark for bringing multi-agent learning one step closer to the real world NIPS 2022
Equivariant Networks for Zero-Shot Coordination NIPS 2022
Off-Team Learning NIPS 2022
Discovered Policy Optimisation NIPS 2022
Influencing Long-Term Behavior in Multiagent Reinforcement Learning NIPS 2022
Proximal Learning With Opponent-Learning Awareness NIPS 2022
Grounding Aleatoric Uncertainty for Unsupervised Environment Design NIPS 2022
Self-Explaining Deviations for Coordination NIPS 2022
Evolving Curricula with Regret-Based Environment Design ICML 2022
Model-Free Opponent Shaping ICML 2022
K-level Reasoning for Zero-Shot Coordination in Hanabi NIPS 2021
Replay-Guided Adversarial Environment Design NIPS 2021
Neural Pseudo-Label Optimism for the Bank Loan Problem NIPS 2021
Off-Belief Learning ICML 2021
Trajectory Diversity for Zero-Shot Coordination ICML 2021
A New Formalism, Method and Open Issues for Zero-Shot Coordination ICML 2021
Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian NIPS 2020
β€œOther-Play” for Zero-Shot Coordination ICML 2020
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning JMLR 2020
Compositionality and Capacity in Emergent Languages ACL 2020
Improving Policies via Search in Cooperative Partially Observable Games AAAI 2020
Exploratory Combinatorial Optimization with Reinforcement Learning AAAI 2020
On the interaction between supervision and self-play in emergent communication ICLR 2020
A Survey of Reinforcement Learning Informed by Natural Language IJCAI 2019
Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Gradient Estimators for Reinforcement Learning NIPS 2019
Multi-Agent Common Knowledge Reinforcement Learning NIPS 2019
Stable Opponent Shaping in Differentiable Games ICLR 2019
Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning ICML 2019
A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs ICML 2019
Seeded self-play for language learning EMNLP 2019
Differentiable Game Mechanics JMLR 2019
The Mechanics of n-Player Differentiable Games ICML 2018
DiCE: The Infinitely Differentiable Monte Carlo Estimator ICML 2018
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning ICML 2018
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning ICML 2017
Learning to Communicate with Deep Multi-Agent Reinforcement Learning NIPS 2016