Timon Willi

28 papers A* 6A 3Journal 17Unranked 2
YearRankTypeTitle / Venue / Authors
2026 — conf
Balanced Accuracy: The Right Metric for Evaluating LLM Judges - Explained through Youden's J statistic.
EACL (Industry Track)
Stephane Collot, Colin Fraser, Justin Zhao, William F. Shen, Timon Willi, Ilias Leontiadis
2026 J jnl
Rethinking Rubric Generation for Improving LLM Judge and Reward Modeling for Open-ended Tasks.
CoRR
William F. Shen, Xinchi Qiu, Chenxi Whitehouse, Lisa Alazraki, Shashwat Goel, Francesco Barbieri, Timon Willi, Akhil Mathur, Ilias Leontiadis
2025 J jnl
Balanced Accuracy: The Right Metric for Evaluating LLM Judges - Explained through Youden's J statistic.
CoRR
Stephane Collot, Colin Fraser, Justin Zhao, William F. Shen, Timon Willi, Ilias Leontiadis
2025 J jnl
The Decrypto Benchmark for Multi-Agent Reasoning and Theory of Mind.
CoRR
Andrei Lupu, Timon Willi, Jakob N. Foerster
2025 J jnl
Training AI Co-Scientists Using Rubric Rewards.
CoRR
Shashwat Goel, Rishi Hazra, Dulhan Jayalath, Timon Willi, Parag Jain, William F. Shen, Ilias Leontiadis, Francesco Barbieri, Yoram Bachrach, Jonas Geiping, Chenxi Whitehouse
2024 A conf
Analysing the Sample Complexity of Opponent Shaping.
AAMAS
Kitty Fung, Qizhen Zhang, Chris Lu, Jia Wan, Timon Willi, Jakob N. Foerster
2024 J jnl
Analysing the Sample Complexity of Opponent Shaping.
CoRR
Kitty Fung, Qizhen Zhang, Chris Lu, Jia Wan, Timon Willi, Jakob N. Foerster
2024 A conf
JaxMARL: Multi-Agent RL Environments and Algorithms in JAX.
AAMAS
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
2024 A* conf
JaxMARL: Multi-Agent RL Environments and Algorithms in JAX.
NeurIPS
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
2024 J jnl
Mixture of Experts in a Mixture of RL settings.
RLJ
Timon Willi, Johan S. Obando-Ceron, Jakob Nicolaus Foerster, Gintare Karolina Dziugaite, Pablo Samuel Castro
2024 J jnl
Mixture of Experts in a Mixture of RL settings.
CoRR
Timon Willi, Johan S. Obando-Ceron, Jakob N. Foerster, Karolina Dziugaite, Pablo Samuel Castro
2024 A* conf
Mixtures of Experts Unlock Parameter Scaling for Deep RL.
ICML
Johan S. Obando-Ceron, Ghada Sokar, Timon Willi, Clare Lyle, Jesse Farebrother, Jakob Nicolaus Foerster, Gintare Karolina Dziugaite, Doina Precup, Pablo Samuel Castro
2024 J jnl
Mixtures of Experts Unlock Parameter Scaling for Deep RL.
CoRR
Johan S. Obando-Ceron, Ghada Sokar, Timon Willi, Clare Lyle, Jesse Farebrother, Jakob N. Foerster, Gintare Karolina Dziugaite, Doina Precup, Pablo Samuel Castro
2024 — conf
Mixtures of Experts for Scaling up Neural Networks in Order Execution.
ICAIF
Kang Li, Mihai Cucuringu, Leandro Sánchez-Betancourt, Timon Willi
2024 A* conf
No Regrets: Investigating and Improving Regret Approximations for Curriculum Discovery.
NeurIPS
Alexander Rutherford, Michael Beukman, Timon Willi, Bruno Lacerda, Nick Hawes, Jakob N. Foerster
2024 J jnl
No Regrets: Investigating and Improving Regret Approximations for Curriculum Discovery.
CoRR
Alexander Rutherford, Michael Beukman, Timon Willi, Bruno Lacerda, Nick Hawes, Jakob N. Foerster
2024 A conf
Scaling Opponent Shaping to High Dimensional Games.
AAMAS
Akbir Khan, Timon Willi, Newton Kwan, Andrea Tacchetti, Chris Lu, Edward Grefenstette, Tim Rocktäschel, Jakob N. Foerster
2024 J jnl
The Danger Of Arrogance: Welfare Equilibra As A Solution To Stackelberg Self-Play In Non-Coincidental Games.
CoRR
Jake Levi, Chris Lu, Timon Willi, Christian Schröder de Witt, Jakob N. Foerster
2023 A* conf
Adversarial Cheap Talk.
ICML
Chris Lu, Timon Willi, Alistair Letcher, Jakob Nicolaus Foerster
2023 J jnl
JaxMARL: Multi-Agent RL Environments in JAX.
CoRR
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
2023 J jnl
Leading the Pack: N-player Opponent Shaping.
CoRR
Alexandra Souly, Timon Willi, Akbir Khan, Robert Kirk, Chris Lu, Edward Grefenstette, Tim Rocktäschel
2023 J jnl
Scaling Opponent Shaping to High Dimensional Games.
CoRR
Akbir Khan, Timon Willi, Newton Kwan, Andrea Tacchetti, Chris Lu, Edward Grefenstette, Tim Rocktäschel, Jakob N. Foerster
2022 J jnl
Adversarial Cheap Talk.
CoRR
Chris Lu, Timon Willi, Alistair Letcher, Jakob N. Foerster
2022 A* conf
COLA: Consistent Learning with Opponent-Learning Awareness.
ICML
Timon Willi, Alistair Letcher, Johannes Treutlein, Jakob N. Foerster
2022 J jnl
COLA: Consistent Learning with Opponent-Learning Awareness.
CoRR
Timon Willi, Johannes Treutlein, Alistair Letcher, Jakob N. Foerster
2022 A* conf
Model-Free Opponent Shaping.
ICML
Christopher Lu, Timon Willi, Christian A. Schröder de Witt, Jakob N. Foerster
2022 J jnl
Model-Free Opponent Shaping.
CoRR
Christopher Lu, Timon Willi, Christian Schröder de Witt, Jakob N. Foerster
2019 J jnl
Recurrent Neural Processes.
CoRR
Timon Willi, Jonathan Masci, Jürgen Schmidhuber, Christian Osendorfer