Grinsztajn, Nathan

11 publications

NeurIPS 2025 Memory-Enhanced Neural Solvers for Routing Problems Felix Chalumeau, Refiloe Shabe, Noah De Nicola, Arnu Pretorius, Thomas D Barrett, Nathan Grinsztajn

NeurIPS 2025 ShiQ: Bringing Back Bellman to LLMs Pierre Clavier, Nathan Grinsztajn, Raphaël Avalos, Yannis Flet-Berliac, Irem Ergun, Omar Darwiche Domingues, Olivier Pietquin, Pierre Harvey Richemond, Florian Strub, Matthieu Geist

ICLR 2024 Jumanji: A Diverse Suite of Scalable Reinforcement Learning Environments in JAX Clément Bonnet, Daniel Luo, Donal John Byrne, Shikha Surana, Sasha Abramowitz, Paul Duckworth, Vincent Coyette, Laurence Illing Midgley, Elshadai Tegegn, Tristan Kalloniatis, Omayma Mahjoub, Matthew Macfarlane, Andries Petrus Smit, Nathan Grinsztajn, Raphael Boige, Cemlyn Neil Waters, Mohamed Ali Ali Mimouni, Ulrich Armel Mbou Sob, Ruan John de Kock, Siddarth Singh, Daniel Furelos-Blanco, Victor Le, Arnu Pretorius, Alexandre Laterre

ICMLW 2024 Overconfident Oracles: Limitations of in Silico Sequence Design Benchmarking Shikha Surana, Nathan Grinsztajn, Timothy Atkinson, Paul Duckworth, Thomas D Barrett

ICML 2024 Should We Be Going MAD? a Look at Multi-Agent Debate Strategies for LLMs Andries Petrus Smit, Nathan Grinsztajn, Paul Duckworth, Thomas D Barrett, Arnu Pretorius

NeurIPSW 2023 Are We Going MAD? Benchmarking Multi-Agent Debate Between Language Models for Medical Q&A Andries Petrus Smit, Paul Duckworth, Nathan Grinsztajn, Kale-ab Tessera, Thomas D Barrett, Arnu Pretorius

NeurIPS 2023 Combinatorial Optimization with Policy Adaptation Using Latent Space Search Felix Chalumeau, Shikha Surana, Clément Bonnet, Nathan Grinsztajn, Arnu Pretorius, Alexandre Laterre, Tom Barrett

NeurIPS 2023 Winner Takes It All: Training Performant RL Populations for Combinatorial Optimization Nathan Grinsztajn, Daniel Furelos-Blanco, Shikha Surana, Clément Bonnet, Tom Barrett

NeurIPSW 2022 Better State Exploration Using Action Sequence Equivalence Nathan Grinsztajn, Toby Johnstone, Johan Ferret, Philippe Preux

ICLRW 2021 Low-Rank Projections of GCNs Laplacian Nathan Grinsztajn, Philippe Preux, Edouard Oyallon

NeurIPS 2021 There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning Nathan Grinsztajn, Johan Ferret, Olivier Pietquin, Philippe Preux, Matthieu Geist