Jakob N. Foerster
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
30
Venues
7
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
30 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | IJCAI | Combining Code Generating Large Language Models and Self-Play to Iteratively Refine Strategies in Games. | Yoram Bachrach, Edan Toledo, Karen Hambardzumyan, Despoina Magka, Martin Josifoski, Minqi Jiang, Jakob N. Foerster, Roberta Raileanu, Tatiana Shavrina, Nicola Cancedda, Avraham Ruderman, Katie Millican, Andrei Lupu, Rishi Hazra |
| 2024 | ACL | HelloFresh: LLM Evalutions on Streams of Real-World Human Editorial Actions across X Community Notes and Wikipedia edits. | Tim Franzmeyer, Aleksandar Shtedritski, Samuel Albanie, Philip Torr, Joo F. Henriques, Jakob N. Foerster |
| 2024 | ICML | Position: Near to Mid-term Risks and Opportunities of Open-Source Generative AI. | Francisco Eiras, Aleksandar Petrov, Bertie Vidgen, Christian Schrder de Witt, Fabio Pizzati, Katherine Elkins, Supratik Mukhopadhyay, Adel Bibi, Botos Csaba, Fabro Steibel, Fazl Barez, Genevieve Smith, Gianluca Guadagni, Jon Chun, Jordi Cabot, Joseph Marvin Imperial, Juan A. Nolazco-Flores, Lori Landay, Matthew Thomas Jackson, Paul Rttger, Philip H. S. Torr, Trevor Darrell, Yong Suk Lee, Jakob N. Foerster |
| 2024 | UAI | Computing Low-Entropy Couplings for Large-Support Distributions. | Samuel Sokota, Dylan Sam, Christian Schrder de Witt, Spencer Compton, Jakob N. Foerster, J. Zico Kolter |
| 2022 | ICML | Mirror Learning: A Unifying Framework of Policy Optimisation. | Jakub Grudzien Kuba, Christian A. Schrder de Witt, Jakob N. Foerster |
| 2022 | ICML | Model-Free Opponent Shaping. | Christopher Lu, Timon Willi, Christian A. Schrder de Witt, Jakob N. Foerster |
| 2022 | ICML | Generalized Beliefs for Cooperative AI. | Darius Muglich, Luisa M. Zintgraf, Christian A. Schrder de Witt, Shimon Whiteson, Jakob N. Foerster |
| 2022 | ICML | Evolving Curricula with Regret-Based Environment Design. | Jack Parker-Holder, Minqi Jiang, Michael Dennis, Mikayel Samvelyan, Jakob N. Foerster, Edward Grefenstette, Tim Rocktschel |
| 2022 | ICML | Communicating via Markov Decision Processes. | Samuel Sokota, Christian A. Schrder de Witt, Maximilian Igl, Luisa M. Zintgraf, Philip H. S. Torr, Martin Strohmeier, J. Zico Kolter, Shimon Whiteson, Jakob N. Foerster |
| 2022 | ICML | COLA: Consistent Learning with Opponent-Learning Awareness. | Timon Willi, Alistair Letcher, Johannes Treutlein, Jakob N. Foerster |
| 2021 | ICML | Off-Belief Learning. | Hengyuan Hu, Adam Lerer, Brandon Cui, Luis Pineda, Noam Brown, Jakob N. Foerster |
| 2021 | ICML | Trajectory Diversity for Zero-Shot Coordination. | Andrei Lupu, Brandon Cui, Hengyuan Hu, Jakob N. Foerster |
| 2021 | ICML | A New Formalism, Method and Open Issues for Zero-Shot Coordination. | Johannes Treutlein, Michael Dennis, Caspar Oesterheld, Jakob N. Foerster |
| 2020 | AAAI | Exploratory Combinatorial Optimization with Reinforcement Learning. | Thomas D. Barrett, William R. Clements, Jakob N. Foerster, A. I. Lvovsky |
| 2020 | AAAI | Improving Policies via Search in Cooperative Partially Observable Games. | Adam Lerer, Hengyuan Hu, Jakob N. Foerster, Noam Brown |
| 2020 | ICLR | Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning. | Hengyuan Hu, Jakob N. Foerster |
| 2020 | ICLR | On the interaction between supervision and self-play in emergent communication. | Ryan Lowe, Abhinav Gupta, Jakob N. Foerster, Douwe Kiela, Joelle Pineau |
| 2020 | ICML | "Other-Play" for Zero-Shot Coordination. | Hengyuan Hu, Adam Lerer, Alex Peysakhovich, Jakob N. Foerster |
| 2019 | EMNLP | Seeded self-play for language learning. | Abhinav Gupta, Ryan Lowe, Jakob N. Foerster, Douwe Kiela, Joelle Pineau |
| 2019 | ICLR | Stable Opponent Shaping in Differentiable Games. | Alistair Letcher, Jakob N. Foerster, David Balduzzi, Tim Rocktschel, Shimon Whiteson |
| 2019 | ICML | Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning. | Jakob N. Foerster, H. Francis Song, Edward Hughes, Neil Burch, Iain Dunning, Shimon Whiteson, Matthew M. Botvinick, Michael Bowling |
| 2019 | ICML | A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs. | Jingkai Mao, Jakob N. Foerster, Tim Rocktschel, Maruan Al-Shedivat, Gregory Farquhar, Shimon Whiteson |
| 2019 | IJCAI | A Survey of Reinforcement Learning Informed by Natural Language. | Jelena Luketina, Nantas Nardelli, Gregory Farquhar, Jakob N. Foerster, Jacob Andreas, Edward Grefenstette, Shimon Whiteson, Tim Rocktschel |
| 2018 | AAAI | Counterfactual Multi-Agent Policy Gradients. | Jakob N. Foerster, Gregory Farquhar, Triantafyllos Afouras, Nantas Nardelli, Shimon Whiteson |
| 2018 | ICLR | DiCE: The Infinitely Differentiable Monte-Carlo Estimator. | Jakob N. Foerster, Gregory Farquhar, Maruan Al-Shedivat, Tim Rocktschel, Eric P. Xing, Shimon Whiteson |
| 2018 | ICML | The Mechanics of n-Player Differentiable Games. | David Balduzzi, Sbastien Racanire, James Martens, Jakob N. Foerster, Karl Tuyls, Thore Graepel |
| 2018 | ICML | DiCE: The Infinitely Differentiable Monte Carlo Estimator. | Jakob N. Foerster, Gregory Farquhar, Maruan Al-Shedivat, Tim Rocktschel, Eric P. Xing, Shimon Whiteson |
| 2018 | ICML | QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning. | Tabish Rashid, Mikayel Samvelyan, Christian Schrder de Witt, Gregory Farquhar, Jakob N. Foerster, Shimon Whiteson |
| 2017 | ICML | Input Switched Affine Networks: An RNN Architecture Designed for Interpretability. | Jakob N. Foerster, Justin Gilmer, Jascha Sohl-Dickstein, Jan Chorowski, David Sussillo |
| 2017 | ICML | Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning. | Jakob N. Foerster, Nantas Nardelli, Gregory Farquhar, Triantafyllos Afouras, Philip H. S. Torr, Pushmeet Kohli, Shimon Whiteson |