Coward, Samuel

5 publications

ICLR 2025 BALROG: Benchmarking Agentic LLM and VLM Reasoning on Games Davide Paglieri, Bartłomiej Cupiał, Samuel Coward, Ulyana Piterbarg, Maciej Wolczyk, Akbir Khan, Eduardo Pignatelli, Łukasz Kuciński, Lerrel Pinto, Rob Fergus, Jakob Nicolaus Foerster, Jack Parker-Holder, Tim Rocktäschel

ICMLW 2024 Assessing the Zero-Shot Capabilities of LLMs for Action Evaluation in RL Eduardo Pignatelli, Johan Ferret, Davide Paglieri, Samuel Coward, Tim Rocktäschel, Edward Grefenstette, Laura Toni

ICML 2024 Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning Michael Matthews, Michael Beukman, Benjamin Ellis, Mikayel Samvelyan, Matthew Thomas Jackson, Samuel Coward, Jakob Nicolaus Foerster

ICMLW 2024 Higher Order and Self-Referential Evolution for Population-Based Methods Samuel Coward, Chris Lu, Alistair Letcher, Minqi Jiang, Jack Parker-Holder, Jakob Nicolaus Foerster

ICML 2024 Refining Minimax Regret for Unsupervised Environment Design Michael Beukman, Samuel Coward, Michael Matthews, Mattie Fellows, Minqi Jiang, Michael D Dennis, Jakob Nicolaus Foerster