Timon Willi

According to our database, Timon Willi authored at least 19 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Rethinking Rubric Generation for Improving LLM Judge and Reward Modeling for Open-ended Tasks.

William F. Shen, Xinchi Qiu, Chenxi Whitehouse, Lisa Alazraki, Shashwat Goel, Francesco Barbieri, Timon Willi, Akhil Mathur, Ilias Leontiadis

CoRR, February, 2026

Balanced Accuracy: The Right Metric for Evaluating LLM Judges - Explained through Youden's J statistic.

Stephane Collot, Colin Fraser, Justin Zhao, William F. Shen, Timon Willi, Ilias Leontiadis

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

Training AI Co-Scientists Using Rubric Rewards.

Shashwat Goel, Rishi Hazra, Dulhan Jayalath, Timon Willi, Parag Jain, William F. Shen, Ilias Leontiadis, Francesco Barbieri, Yoram Bachrach, Jonas Geiping, Chenxi Whitehouse

CoRR, December, 2025

The Decrypto Benchmark for Multi-Agent Reasoning and Theory of Mind.

Andrei Lupu, Timon Willi, Jakob N. Foerster

CoRR, June, 2025

2024

The Danger Of Arrogance: Welfare Equilibra As A Solution To Stackelberg Self-Play In Non-Coincidental Games.

Jake Levi, Chris Lu, Timon Willi, Christian Schröder de Witt, Jakob N. Foerster

CoRR, 2024

Mixture of Experts in a Mixture of RL settings.

Timon Willi, Johan S. Obando-Ceron, Jakob Nicolaus Foerster, Gintare Karolina Dziugaite, Pablo Samuel Castro

RLJ, 2024

JaxMARL: Multi-Agent RL Environments and Algorithms in JAX.

Alexander Rutherford, Benjamin Ellis, Matteo Gallici, Jonathan Cook, Andrei Lupu, Garðar Ingvarsson, Timon Willi, Ravi Hammond, Akbir Khan, Christian Schröder de Witt, Alexandra Souly, Saptarashmi Bandyopadhyay, Mikayel Samvelyan, Minqi Jiang, Robert T. Lange, Shimon Whiteson, Bruno Lacerda, Nick Hawes, Tim Rocktäschel, Chris Lu, Jakob N. Foerster

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

No Regrets: Investigating and Improving Regret Approximations for Curriculum Discovery.

Alexander Rutherford, Michael Beukman, Timon Willi, Bruno Lacerda, Nick Hawes, Jakob N. Foerster

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Mixtures of Experts for Scaling up Neural Networks in Order Execution.

Kang Li, Mihai Cucuringu, Leandro Sánchez-Betancourt, Timon Willi

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

JaxMARL: Multi-Agent RL Environments and Algorithms in JAX.

Alexander Rutherford, Benjamin Ellis, Matteo Gallici, Jonathan Cook, Andrei Lupu, Garðar Ingvarsson, Timon Willi, Akbir Khan, Christian Schröder de Witt, Alexandra Souly, Saptarashmi Bandyopadhyay, Mikayel Samvelyan, Minqi Jiang, Robert T. Lange, Shimon Whiteson, Bruno Lacerda, Nick Hawes, Tim Rocktäschel, Chris Lu, Jakob N. Foerster

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Scaling Opponent Shaping to High Dimensional Games.

Akbir Khan, Timon Willi, Newton Kwan, Andrea Tacchetti, Chris Lu, Edward Grefenstette, Tim Rocktäschel, Jakob N. Foerster

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Analysing the Sample Complexity of Opponent Shaping.

Kitty Fung, Qizhen Zhang, Chris Lu, Jia Wan, Timon Willi, Jakob N. Foerster

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Leading the Pack: N-player Opponent Shaping.

Alexandra Souly, Timon Willi, Akbir Khan, Robert Kirk, Chris Lu, Edward Grefenstette, Tim Rocktäschel

CoRR, 2023

JaxMARL: Multi-Agent RL Environments in JAX.

Alexander Rutherford, Benjamin Ellis, Matteo Gallici, Jonathan Cook, Andrei Lupu, Garðar Ingvarsson, Timon Willi, Akbir Khan, Christian Schröder de Witt, Alexandra Souly, Saptarashmi Bandyopadhyay, Mikayel Samvelyan, Minqi Jiang, Robert Tjarko Lange, Shimon Whiteson, Bruno Lacerda, Nick Hawes, Tim Rocktäschel, Chris Lu, Jakob Nicolaus Foerster

CoRR, 2023

Adversarial Cheap Talk.

Chris Lu, Timon Willi, Alistair Letcher, Jakob Nicolaus Foerster

Proceedings of the International Conference on Machine Learning, 2023

2022

COLA: Consistent Learning with Opponent-Learning Awareness.

Timon Willi, Alistair Letcher, Johannes Treutlein, Jakob N. Foerster

Proceedings of the International Conference on Machine Learning, 2022

Model-Free Opponent Shaping.

Christopher Lu, Timon Willi, Christian A. Schröder de Witt, Jakob N. Foerster

Proceedings of the International Conference on Machine Learning, 2022

2019

Recurrent Neural Processes.

Timon Willi, Jonathan Masci, Jürgen Schmidhuber, Christian Osendorfer

CoRR, 2019