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

The Challenge of Redundancy on Multi-agent Value Factorisation. - Siddarth Shandeep Singh; Benjamin Rosman (AAMAS, 2023)

How much can change in a year? Revisiting Evaluation in Multi-Agent Reinforcement Learning. - Siddarth Singh; Omayma Mahjoub; Ruan de Kock; Wiem Khlifi; Abidine Vall; Kale-ab Abebe Tessera; Arnu Pretorius (CoRR, 2023)

Efficiently Quantifying Individual Agent Importance in Cooperative MARL. - Omayma Mahjoub; Ruan de Kock; Siddarth Singh; Wiem Khlifi; Abidine Vall; Kale-ab Abebe Tessera; Arnu Pretorius (CoRR, 2023)

On Diagnostics for Understanding Agent Training Behaviour in Cooperative MARL. - Wiem Khlifi; Siddarth Singh; Omayma Mahjoub; Ruan de Kock; Abidine Vall; Rihab Gorsane; Arnu Pretorius (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)

SMX: Sequential Monte Carlo Planning for Expert Iteration. - Matthew V. Macfarlane; Edan Toledo; Donal Byrne; Siddarth Singh; Paul Duckworth; Alexandre Laterre (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)