Jonathan Cook - RankMe

14 papers A* 4A 1Journal 8Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Improving Interactive In-Context Learning from Natural Language Feedback. CoRR Martin Klissarov, Jonathan Cook, Diego Antognini, Hao Sun, Jingling Li, Natasha Jaques, Claudiu Musat, Edward Grefenstette
2026	J	`jnl`	Learning to Learn from Language Feedback with Social Meta-Learning. CoRR Jonathan Cook, Diego Antognini, Martin Klissarov, Claudiu Musat, Edward Grefenstette
2025	A*	`conf`	Ad-Hoc Human-AI Coordination Challenge. ICML Tin Dizdarevic, Ravi Hammond, Tobias Gessler, Anisoara Calinescu, Jonathan Cook, Matteo Gallici, Andrei Lupu, Jakob Nicolaus Foerster
2025	J	`jnl`	Ad-Hoc Human-AI Coordination Challenge. CoRR Tin Dizdarevic, Ravi Hammond, Tobias Gessler, Anisoara Calinescu, Jonathan Cook, Matteo Gallici, Andrei Lupu, Darius Muglich, Johannes Forkel, Jakob Nicolaus Foerster
2025	J	`jnl`	Learning When to Plan: Efficiently Allocating Test-Time Compute for LLM Agents. CoRR Davide Paglieri, Bartlomiej Cupial, Jonathan Cook, Ulyana Piterbarg, Jens Tuyls, Edward Grefenstette, Jakob Nicolaus Foerster, Jack Parker-Holder, Tim Rocktäschel
2025	J	`jnl`	Programming by Backprop: LLMs Acquire Reusable Algorithmic Abstractions During Code Training. CoRR Jonathan Cook, Silvia Sapora, Arash Ahmadian, Akbir Khan, Tim Rocktäschel, Jakob N. Foerster, Laura Ruis
2024	A*	`conf`	Artificial Generational Intelligence: Cultural Accumulation in Reinforcement Learning. NeurIPS Jonathan Cook, Chris Lu, Edward Hughes, Joel Z. Leibo, Jakob N. Foerster
2024	J	`jnl`	Artificial Generational Intelligence: Cultural Accumulation in Reinforcement Learning. CoRR Jonathan Cook, Chris Lu, Edward Hughes, Joel Z. Leibo, 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`	TICKing All the Boxes: Generated Checklists Improve LLM Evaluation and Generation. CoRR Jonathan Cook, Tim Rocktäschel, Jakob N. Foerster, Dennis Aumiller, Alex Wang
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	A*	`conf`	SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning. NeurIPS Benjamin Ellis, Jonathan Cook, Skander Moalla, Mikayel Samvelyan, Mingfei Sun, Anuj Mahajan, Jakob N. Foerster, Shimon Whiteson
2021	—	`conf`	Detecting and Forecasting Misinformation via Temporal and Geometric Propagation Patterns. ECIR (2) Qiang Zhang, Jonathan Cook, Emine Yilmaz