Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX. - Clément Bonnet; Daniel Luo; Donal Byrne; Shikha Surana; Vincent Coyette; Paul Duckworth; Laurence I. Midgley; Tristan Kalloniatis; Sasha Abramowitz; Cemlyn N. Waters; Andries P. Smit; Nathan Grinsztajn; et al. (CoRR, 2023)

Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX. - Clément Bonnet; Daniel Luo; Donal Byrne; Shikha Surana; Sasha Abramowitz; Paul Duckworth; Vincent Coyette; Laurence Illing Midgley; Elshadai Tegegn; Tristan Kalloniatis; Omayma Mahjoub; Matthew Macfarlane; et al. (ICLR, 2024)

Generative Model for Small Molecules with Latent Space RL Fine-Tuning to Protein Targets. - Ulrich A. Mbou Sob; Qiulin Li; Miguel Arbesú; Oliver Bent; Andries P. Smit; Arnu Pretorius (CoRR, 2024)

Breaking the Performance Ceiling in Complex Reinforcement Learning requires Inference Strategies. - Félix Chalumeau; Daniel Rajaonarivonivelomanantsoa; Ruan de Kock; Claude Formanek; Sasha Abramowitz; Omayma Mahjoub; Wiem Khlifi; Simon du Toit; Louay Ben Nessir; Refiloe Shabe; Arnol Fokam; Siddarth Singh; et al. (CoRR, 2025)

Oryx: a Performant and Scalable Algorithm for Many-Agent Coordination in Offline MARL. - Claude Formanek; Omayma Mahjoub; Louay Ben Nessir; Sasha Abramowitz; Ruan de Kock; Wiem Khlifi; Simon du Toit; Félix Chalumeau; Daniel Rajaonarivonivelomanantsoa; Arnol Fokam; Siddarth Singh; Ulrich A. Mbou Sob; et al. (CoRR, 2025)