Cook, Jonathan

7 publications

ICML 2025 Ad-Hoc Human-AI Coordination Challenge Tin Dizdarević, Ravi Hammond, Tobias Gessler, Anisoara Calinescu, Jonathan Cook, Matteo Gallici, Andrei Lupu, Jakob Nicolaus Foerster

NeurIPS 2024 Artificial Generational Intelligence: Cultural Accumulation in Reinforcement Learning Jonathan Cook, Chris Lu, Edward Hughes, Joel Z. Leibo, Jakob Foerster

NeurIPS 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 Schroeder de Witt, Alexandra Souly, Saptarashmi Bandyopadhyay, Mikayel Samvelyan, Minqi Jiang, Robert Lange, Shimon Whiteson, Bruno Lacerda, Nick Hawes, Tim Rocktäschel, Chris Lu, Jakob Foerster

NeurIPSW 2024 On Reward Functions for Self-Improving Chain-of-Thought Reasoning Without Supervised Datasets (Abridged Version) Thomas Foster, Eltayeb Ahmed, Jonathan Cook, Shalev Lifshitz, Tim Rocktäschel, Jakob Nicolaus Foerster

NeurIPSW 2024 TICKing All the Boxes: Generated Checklists Improve LLM Evaluation and Generation Jonathan Cook, Tim Rocktäschel, Jakob Nicolaus Foerster, Dennis Aumiller, Alex Wang

NeurIPSW 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 Schroeder 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

NeurIPS 2023 SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning Benjamin Ellis, Jonathan Cook, Skander Moalla, Mikayel Samvelyan, Mingfei Sun, Anuj Mahajan, Jakob Foerster, Shimon Whiteson