Mava: a research framework for distributed multi-agent reinforcement learning. - Arnu Pretorius; Kale-ab Abebe Tessera; Andries P. Smit; Claude Formanek; St John Grimbly; Kevin Eloff; Siphelele Danisa; Lawrence Francis; Jonathan P. Shock; Herman Kamper; Willie Brink; Herman A. Engelbrecht; et al. (CoRR, 2021)

Off-the-Grid MARL: Datasets and Baselines for Offline Multi-Agent Reinforcement Learning. - Claude Formanek; Asad Jeewa; Jonathan P. Shock; Arnu Pretorius (AAMAS, 2023)

Off-the-Grid MARL: a Framework for Dataset Generation with Baselines for Cooperative Offline Multi-Agent Reinforcement Learning. - Claude Formanek; Asad Jeewa; Jonathan P. Shock; Arnu Pretorius (CoRR, 2023)

Reduce, Reuse, Recycle: Selective Reincarnation in Multi-Agent Reinforcement Learning. - Claude Formanek; Callum Rhys Tilbury; Jonathan P. Shock; Kale-ab Abebe Tessera; Arnu Pretorius (CoRR, 2023)

Dispelling the Mirage of Progress in Offline MARL through Standardised Baselines and Evaluation. - Juan Claude Formanek; Callum Rhys Tilbury; Louise Beyers; Jonathan P. Shock; Arnu Pretorius (NeurIPS, 2024)

Coordination Failure in Cooperative Offline MARL. - Callum Rhys Tilbury; Claude Formanek; Louise Beyers; Jonathan P. Shock; Arnu Pretorius (CoRR, 2024)

Putting Data at the Centre of Offline Multi-Agent Reinforcement Learning. - Claude Formanek; Louise Beyers; Callum Rhys Tilbury; Jonathan P. Shock; Arnu Pretorius (CoRR, 2024)

Performant, Memory Efficient and Scalable Multi-Agent Reinforcement Learning. - Omayma Mahjoub; Sasha Abramowitz; Ruan de Kock; Wiem Khlifi; Simon du Toit; Jemma Daniel; Louay Ben Nessir; Louise Beyers; Claude Formanek; Liam Clark; Arnu Pretorius (CoRR, 2024)

Opportunities of Reinforcement Learning in South Africa's Just Transition. - Claude Formanek; Callum Rhys Tilbury; Jonathan P. Shock (CoRR, 2024)

Multi-Agent Reinforcement Learning with Selective State-Space Models. - Jemma Daniel; Ruan John de Kock; Louay Ben Nessir; Sasha Abramowitz; Omayma Mahjoub; Wiem Khlifi; Juan Claude Formanek; Arnu Pretorius (AAMAS, 2025)

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)