Recurrent Neural Processes. - Timon Willi; Jonathan Masci; Jürgen Schmidhuber; Christian Osendorfer (CoRR, 2019)

Model-Free Opponent Shaping. - Christopher Lu 001; Timon Willi; Christian A. Schröder de Witt; Jakob N. Foerster (ICML, 2022)

COLA: Consistent Learning with Opponent-Learning Awareness. - Timon Willi; Alistair Letcher; Johannes Treutlein; Jakob N. Foerster (ICML, 2022)

Adversarial Cheap Talk. - Chris Lu 001; Timon Willi; Alistair Letcher; Jakob Nicolaus Foerster (ICML, 2023)

JaxMARL: Multi-Agent RL Environments in JAX. - Alexander Rutherford; Benjamin Ellis; Matteo Gallici; Jonathan Cook 004; Andrei Lupu; Garðar Ingvarsson; Timon Willi; Akbir Khan; Christian Schröder de Witt; Alexandra Souly; Saptarashmi Bandyopadhyay; Mikayel Samvelyan; et al. (CoRR, 2023)

Leading the Pack: N-player Opponent Shaping. - Alexandra Souly; Timon Willi; Akbir Khan; Robert Kirk; Chris Lu 001; Edward Grefenstette; Tim Rocktäschel (CoRR, 2023)

Analysing the Sample Complexity of Opponent Shaping. - Kitty Fung; Qizhen Zhang 002; Chris Lu 001; Jia Wan; Timon Willi; Jakob N. Foerster (AAMAS, 2024)

Scaling Opponent Shaping to High Dimensional Games. - Akbir Khan; Timon Willi; Newton Kwan; Andrea Tacchetti; Chris Lu 001; Edward Grefenstette; Tim Rocktäschel; Jakob N. Foerster (AAMAS, 2024)

JaxMARL: Multi-Agent RL Environments and Algorithms in JAX. - Alexander Rutherford; Benjamin Ellis; Matteo Gallici; Jonathan Cook 004; Andrei Lupu; Garðar Ingvarsson; Timon Willi; Akbir Khan; Christian Schröder de Witt; Alexandra Souly; Saptarashmi Bandyopadhyay; Mikayel Samvelyan; et al. (AAMAS, 2024)

Mixtures of Experts for Scaling up Neural Networks in Order Execution. - Kang Li; Mihai Cucuringu; Leandro Sánchez-Betancourt; Timon Willi (ICAIF, 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 (ICML, 2024)

No Regrets: Investigating and Improving Regret Approximations for Curriculum Discovery. - Alexander Rutherford; Michael Beukman; Timon Willi; Bruno Lacerda; Nick Hawes; Jakob N. Foerster (NeurIPS, 2024)

JaxMARL: Multi-Agent RL Environments and Algorithms in JAX. - Alexander Rutherford; Benjamin Ellis; Matteo Gallici; Jonathan Cook 004; Andrei Lupu; Garðar Ingvarsson; Timon Willi; Ravi Hammond; Akbir Khan; Christian Schröder de Witt; Alexandra Souly; Saptarashmi Bandyopadhyay; et al. (NeurIPS, 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)

The Danger Of Arrogance: Welfare Equilibra As A Solution To Stackelberg Self-Play In Non-Coincidental Games. - Jake Levi; Chris Lu 001; Timon Willi; Christian Schröder de Witt; Jakob N. Foerster (CoRR, 2024)

The Decrypto Benchmark for Multi-Agent Reasoning and Theory of Mind. - Andrei Lupu; Timon Willi; Jakob N. Foerster (CoRR, 2025)