Claude Formanek

According to our database, Claude Formanek authored at least 12 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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, Arnu Pretorius

CoRR, May, 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, Ulrich A. Mbou Sob, Arnu Pretorius

CoRR, May, 2025

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

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

2024

Opportunities of Reinforcement Learning in South Africa's Just Transition.

Claude Formanek, Callum Rhys Tilbury, Jonathan P. Shock

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

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

Coordination Failure in Cooperative Offline MARL.

Callum Rhys Tilbury, Claude Formanek, Louise Beyers, Jonathan P. Shock, Arnu Pretorius

CoRR, 2024

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

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

Off-the-Grid MARL: Datasets and Baselines for Offline Multi-Agent Reinforcement Learning.

Claude Formanek, Asad Jeewa, Jonathan P. Shock, Arnu Pretorius

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2021

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, Alexandre Laterre, Karim Beguir

CoRR, 2021