Claude Formanek

According to our database, Claude Formanek authored at least 18 papers between 2021 and 2026.

Collaborative distances:

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

2026

Habermolt: Delegating Deliberation to AI Representatives.

Joseph Low, Oscar Duys, Claude Formanek, Michiel Bakker, Lewis Hammond

CoRR, May, 2026

Self-Supervised On-Policy Reinforcement Learning via Contrastive Proximal Policy Optimisation.

Asim Osman, Sasha Abramowitz, Mark Bergh, Ulrich A. Mbou Sob, Ruan John de Kock, Omayma Mahjoub, Oussama Hidaoui, Noah de Nicola, Arnol Fokam, Félix Chalumeau, Daniel Rajaonarivonivelomanantsoa, Siddarth Singh, Refiloe Shabe, Juan Claude Formanek, Simon du Toit, Arnu Pretorius

CoRR, May, 2026

CODA: Coordination via On-Policy Diffusion for Multi-Agent Offline Reinforcement Learning.

Marcel Hedman, Kale-ab Abebe Tessera, Juan Claude Formanek, Anya Sims, Riccardo Zamboni, Trevor McInroe, John Torr, Elliot Fosong

CoRR, April, 2026

Characterizing MARL for Energy Control: A Multi-KPI Benchmark on the CityLearn Environment.

Aymen Khouja, Imen Jendoubi, Omayma Mahjoub, Oussama Mahfoudhi, Claude Formanek, Siddarth Singh, Ruan de Kock

CoRR, February, 2026

Putting Data at the Centre of Offline Multi-Agent Reinforcement Learning.

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

J. Data-centric Mach. Learn. Res., 2026

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

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 du Toit, Arnol Fokam, Siddarth Singh, Ulrich A. Mbou Sob, Félix Chalumeau, Arnu Pretorius

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 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

Sable: a Performant, Efficient and Scalable Sequence Model for MARL.

Omayma Mahjoub, Sasha Abramowitz, Ruan John de Kock, Wiem Khlifi, Simon du Toit, Jemma Daniel, Louay Ben Nessir, Louise Beyers, Juan Claude Formanek, Liam Clark, Arnu Pretorius

Proceedings of the Forty-second International Conference on Machine Learning, 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

Coordination Failure in Cooperative Offline MARL.

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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Selective Reincarnation: Offline-to-Online Multi-Agent Reinforcement Learning.

Claude Formanek, Callum Rhys Tilbury, Jonathan 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 Shock, Arnu Pretorius

CoRR, 2023

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

Claude Formanek, Asad Jeewa, Jonathan Shock, Arnu Pretorius

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

2021

Mava: a research library for distributed multi-agent reinforcement learning in JAX.

Ruan de Kock, Omayma Mahjoub, Sasha Abramowitz, Wiem Khlifi, Callum Rhys Tilbury, Claude Formanek, Andries P. Smit, Arnu Pretorius

CoRR, 2021