Singh, Siddarth

5 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

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 SMX: Sequential Monte Carlo Planning for Expert Iteration Edan Toledo, Matthew Macfarlane, Donal John Byrne, Siddarth Singh, Paul Duckworth, Alexandre Laterre

NeurIPS 2022 Towards a Standardised Performance Evaluation Protocol for Cooperative MARL Rihab Gorsane, Omayma Mahjoub, Ruan John de Kock, Roland Dubb, Siddarth Singh, Arnu Pretorius