Jakob Nicolaus Foerster
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
28
Venues
4
Active years
2022–2026
Best venue rank
A*
Where they publish
Papers
28 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Check Your Work: Structured Checklist Feedback for Improving Large Language Models. | Jonathan Cook, Tim Rocktschel, Jakob Nicolaus Foerster, Dennis Aumiller, Alex Wang |
| 2025 | EMNLP | BTS: Harmonizing Specialized Experts into a Generalist LLM. | Qizhen Zhang, Prajjwal Bhargava, Chloe Bi, Chris X. Cai, Jakob Nicolaus Foerster, Jeremy Fu, Punit Singh Koura, Ruan Silva, Sheng Shen, Emily Dinan, Suchin Gururangan, Mike Lewis |
| 2025 | ICLR | Simplifying Deep Temporal Difference Learning. | Matteo Gallici, Mattie Fellows, Benjamin Ellis, Bartomeu Pou, Ivan Masmitja, Jakob Nicolaus Foerster, Mario Martin |
| 2025 | ICLR | OvercookedV2: Rethinking Overcooked for Zero-Shot Coordination. | Tobias Gessler, Tin Dizdarevic, Ani Calinescu, Benjamin Ellis, Andrei Lupu, Jakob Nicolaus Foerster |
| 2025 | ICLR | Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks. | Michael T. Matthews, Michael Beukman, Chris Lu, Jakob Nicolaus Foerster |
| 2025 | ICLR | Expected Return Symmetries. | Darius Muglich, Johannes Forkel, Elise van der Pol, Jakob Nicolaus Foerster |
| 2025 | ICLR | BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games. | Davide Paglieri, Bartlomiej Cupial, Samuel Coward, Ulyana Piterbarg, Maciej Wolczyk, Akbir Khan, Eduardo Pignatelli, Lukasz Kucinski, Lerrel Pinto, Rob Fergus, Jakob Nicolaus Foerster, Jack Parker-Holder, Tim Rocktschel |
| 2025 | ICML | Ad-Hoc Human-AI Coordination Challenge. | Tin Dizdarevic, Ravi Hammond, Tobias Gessler, Anisoara Calinescu, Jonathan Cook, Matteo Gallici, Andrei Lupu, Jakob Nicolaus Foerster |
| 2025 | ICML | LOB-Bench: Benchmarking Generative AI for Finance - an Application to Limit Order Book Data. | Peer Nagy, Sascha Yves Frey, Kang Li, Bidipta Sarkar, Svitlana Vyetrenko, Stefan Zohren, Ani Calinescu, Jakob Nicolaus Foerster |
| 2025 | ICML | ADIOS: Antibody Development via Opponent Shaping. | Sebastian Rene Towers, Aleksandra Kalisz, Philippe A. Robert, Alicia Higueruelo, Francesca V. Vianello, Ming-Han Chloe Tsai, Harrison Steel, Jakob Nicolaus Foerster |
| 2024 | ICLR | Select to Perfect: Imitating desired behavior from large multi-agent data. | Tim Franzmeyer, Edith Elkind, Philip Torr, Jakob Nicolaus Foerster, Joo F. Henriques |
| 2024 | ICLR | Illusory Attacks: Information-theoretic detectability matters in adversarial attacks. | Tim Franzmeyer, Stephen Marcus McAleer, Joo F. Henriques, Jakob Nicolaus Foerster, Philip Torr, Adel Bibi, Christian Schrder de Witt |
| 2024 | ICLR | Discovering Temporally-Aware Reinforcement Learning Algorithms. | Matthew Thomas Jackson, Chris Lu, Louis Kirsch, Robert Tjarko Lange, Shimon Whiteson, Jakob Nicolaus Foerster |
| 2024 | ICLR | Learning Multi-Agent Communication with Contrastive Learning. | Yat Long Lo, Biswa Sengupta, Jakob Nicolaus Foerster, Michael Noukhovitch |
| 2024 | ICLR | Behaviour Distillation. | Andrei Lupu, Chris Lu, Jarek Liesen, Robert Tjarko Lange, Jakob Nicolaus Foerster |
| 2024 | ICML | Refining Minimax Regret for Unsupervised Environment Design. | Michael Beukman, Samuel Coward, Michael T. Matthews, Mattie Fellows, Minqi Jiang, Michael D. Dennis, Jakob Nicolaus Foerster |
| 2024 | ICML | ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive Advantages. | Andrew Jesson, Chris Lu, Gunshi Gupta, Nicolas Beltran-Velez, Angelos Filos, Jakob Nicolaus Foerster, Yarin Gal |
| 2024 | ICML | Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning. | Michael T. Matthews, Michael Beukman, Benjamin Ellis, Mikayel Samvelyan, Matthew Thomas Jackson, Samuel Coward, Jakob Nicolaus Foerster |
| 2024 | ICML | Mixtures of Experts Unlock Parameter Scaling for Deep RL. | Johan S. Obando-Ceron, Ghada Sokar, Timon Willi, Clare Lyle, Jesse Farebrother, Jakob Nicolaus Foerster, Gintare Karolina Dziugaite, Doina Precup, Pablo Samuel Castro |
| 2024 | ICML | EvIL: Evolution Strategies for Generalisable Imitation Learning. | Silvia Sapora, Gokul Swamy, Chris Lu, Yee Whye Teh, Jakob Nicolaus Foerster |
| 2024 | ICML | PARDEN, Can You Repeat That? Defending against Jailbreaks via Repetition. | Ziyang Zhang, Qizhen Zhang, Jakob Nicolaus Foerster |
| 2023 | ICLR | Adversarial Diversity in Hanabi. | Brandon Cui, Andrei Lupu, Samuel Sokota, Hengyuan Hu, David J. Wu, Jakob Nicolaus Foerster |
| 2023 | ICLR | Cheap Talk Discovery and Utilization in Multi-Agent Reinforcement Learning. | Yat Long Lo, Christian Schrder de Witt, Samuel Sokota, Jakob Nicolaus Foerster, Shimon Whiteson |
| 2023 | ICLR | MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning. | Mikayel Samvelyan, Akbir Khan, Michael Dennis, Minqi Jiang, Jack Parker-Holder, Jakob Nicolaus Foerster, Roberta Raileanu, Tim Rocktschel |
| 2023 | ICLR | Perfectly Secure Steganography Using Minimum Entropy Coupling. | Christian Schrder de Witt, Samuel Sokota, J. Zico Kolter, Jakob Nicolaus Foerster, Martin Strohmeier |
| 2023 | ICML | Adversarial Cheap Talk. | Chris Lu, Timon Willi, Alistair Letcher, Jakob Nicolaus Foerster |
| 2023 | ICML | Learning Intuitive Policies Using Action Features. | Mingwei Ma, Jizhou Liu, Samuel Sokota, Max Kleiman-Weiner, Jakob Nicolaus Foerster |
| 2022 | ICLR | A Fine-Tuning Approach to Belief State Modeling. | Samuel Sokota, Hengyuan Hu, David J. Wu, J. Zico Kolter, Jakob Nicolaus Foerster, Noam Brown |