Jakob Nicolaus Foerster
30 papers · 2022–2026 · 5 conferences · across top CS/AI conferences
Achievements
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๐ Interdisciplinary Bridge ๐ Cross-Pollinator (6) ๐บ๏ธ Taxonomy Completionist (10) ๐งญ Keyword Pioneer ๐ Conference Polyglot (4)
๐ฅ
Mega-Team
(27)
๐
Triple Crown
๐
Century Club
(29)
โก
Prolific Year
(13)
โ
The Questioner
Conferences
ICLR (15)
ICML (12)
ACL (1)
EMNLP (1)
NIPS (1)
Top co-authors
Keywords
reinforcement learning
(2)
function approximation
(1)
attention mechanism
(1)
policy learning
(1)
model merging
(1)
adversarial attack
(1)
inductive bia
(1)
language model
(1)
reward model
(1)
game ai
(1)
cooperative intelligence
(1)
mixed-motive game
(1)
social generalization
(1)
ai feedback
(1)
expert specialization
(1)
continual pretraining
(1)
multi-agent coordination
(1)
intuitive policy
(1)
attention-based architecture
(1)
action feature
(1)
Papers
Check Your Work: Structured Checklist Feedback for Improving Large Language Models
ACL 2026
BTS: Harmonizing Specialized Experts into a Generalist LLM
EMNLP 2025
Simplifying Deep Temporal Difference Learning
ICLR 2025
Expected Return Symmetries
ICLR 2025
OvercookedV2: Rethinking Overcooked for Zero-Shot Coordination
ICLR 2025
Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks
ICLR 2025
BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games
ICLR 2025
Ad-Hoc Human-AI Coordination Challenge
ICML 2025
LOB-Bench: Benchmarking Generative AI for Finance - an Application to Limit Order Book Data
ICML 2025
ADIOS: Antibody Development via Opponent Shaping
ICML 2025
Illusory Attacks: Information-theoretic detectability matters in adversarial attacks
ICLR 2024
Learning Multi-Agent Communication with Contrastive Learning
ICLR 2024
Mixtures of Experts Unlock Parameter Scaling for Deep RL
ICML 2024
EvIL: Evolution Strategies for Generalisable Imitation Learning
ICML 2024
PARDEN, Can You Repeat That? Defending against Jailbreaks via Repetition
ICML 2024
Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence
NIPS 2024
Refining Minimax Regret for Unsupervised Environment Design
ICML 2024
Position: Near to Mid-term Risks and Opportunities of Open-Source Generative AI
ICML 2024
ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive Advantages
ICML 2024
Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning
ICML 2024
Behaviour Distillation
ICLR 2024
Discovering Temporally-Aware Reinforcement Learning Algorithms
ICLR 2024
Select to Perfect: Imitating desired behavior from large multi-agent data
ICLR 2024
MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning
ICLR 2023
Adversarial Cheap Talk
ICML 2023
Learning Intuitive Policies Using Action Features
ICML 2023
Adversarial Diversity in Hanabi
ICLR 2023
Perfectly Secure Steganography Using Minimum Entropy Coupling
ICLR 2023
Cheap Talk Discovery and Utilization in Multi-Agent Reinforcement Learning
ICLR 2023
A Fine-Tuning Approach to Belief State Modeling
ICLR 2022