Sob, Ulrich Armel Mbou

6 publications

NeurIPS 2025 Breaking the Performance Ceiling in Reinforcement Learning Requires Inference Strategies Felix Chalumeau, Daniel Rajaonarivonivelomanantsoa, Ruan John de Kock, Juan Claude Formanek, Sasha Abramowitz, Omayma Mahjoub, Wiem Khlifi, Simon Verster Du Toit, Louay Ben Nessir, Refiloe Shabe, Arnol Manuel Fokam, Siddarth Singh, Ulrich Armel Mbou Sob, Arnu Pretorius

NeurIPS 2025 Oryx: A Scalable Sequence Model for Many-Agent Coordination in Offline MARL Juan Claude Formanek, Omayma Mahjoub, Louay Ben Nessir, Sasha Abramowitz, Ruan John de Kock, Wiem Khlifi, Daniel Rajaonarivonivelomanantsoa, Simon Verster Du Toit, Arnol Manuel Fokam, Siddarth Singh, Ulrich Armel Mbou Sob, Felix Chalumeau, Arnu Pretorius

ICMLW 2024 Generative Model for Small Molecules with Latent Space RL Fine-Tuning to Protein Targets Ulrich Armel Mbou Sob, Qiulin Li, Miguel Arbesú, Oliver Bent, Andries Petrus Smit, Arnu Pretorius

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

NeurIPSW 2024 Molecular Generation with State Space Sequence Models Anri Lombard, Shane Acton, Ulrich Armel Mbou Sob, Jan Buys

NeurIPSW 2023 Offline RL for Generative Design of Protein Binders Denis Tarasov, Ulrich Armel Mbou Sob, Miguel Arbesú, Nima H. Siboni, Sebastien Boyer, Andries Petrus Smit, Oliver Bent, Arnu Pretorius, Marcin J. Skwark