Pretorius, Arnu

22 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 Memory-Enhanced Neural Solvers for Routing Problems Felix Chalumeau, Refiloe Shabe, Noah De Nicola, Arnu Pretorius, Thomas D Barrett, Nathan Grinsztajn

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

ICML 2025 Sable: A Performant, Efficient and Scalable Sequence Model for MARL Omayma Mahjoub, Sasha Abramowitz, Ruan John De Kock, Wiem Khlifi, Simon Verster Du Toit, Jemma Daniel, Louay Ben Nessir, Louise Beyers, Juan Claude Formanek, Liam Clark, Arnu Pretorius

ICMLW 2024 Coordination Failure in Cooperative Offline MARL Callum Rhys Tilbury, Juan Claude Formanek, Louise Beyers, Jonathan Phillip Shock, Arnu Pretorius

NeurIPS 2024 Dispelling the Mirage of Progress in Offline MARL Through Standardised Baselines and Evaluation Claude Formanek, Callum Rhys Tilbury, Louise Beyers, Jonathan Shock, Arnu Pretorius

ICMLW 2024 Generative Model for Small Molecules with Latent Space RL Fine-Tuning to Protein Targets Ulrich Armel Mbou Sob, Qiulin Li, Miguel Arbesú, Oliver Bent, Andries Petrus Smit, 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

ICML 2024 Should We Be Going MAD? a Look at Multi-Agent Debate Strategies for LLMs Andries Petrus Smit, Nathan Grinsztajn, Paul Duckworth, Thomas D Barrett, Arnu Pretorius

NeurIPSW 2023 Are We Going MAD? Benchmarking Multi-Agent Debate Between Language Models for Medical Q&A Andries Petrus Smit, Paul Duckworth, Nathan Grinsztajn, Kale-ab Tessera, Thomas D Barrett, Arnu Pretorius

NeurIPS 2023 Combinatorial Optimization with Policy Adaptation Using Latent Space Search Felix Chalumeau, Shikha Surana, Clément Bonnet, Nathan Grinsztajn, Arnu Pretorius, Alexandre Laterre, Tom Barrett

NeurIPSW 2023 Generalisable Agents for Neural Network Optimisation Kale-ab Tessera, Callum Rhys Tilbury, Sasha Abramowitz, Ruan John de Kock, Omayma Mahjoub, Benjamin Rosman, Sara Hooker, Arnu Pretorius

NeurIPSW 2023 Generalisable Agents for Neural Network Optimisation Kale-ab Tessera, Callum Rhys Tilbury, Sasha Abramowitz, Ruan John de Kock, Omayma Mahjoub, Benjamin Rosman, Sara Hooker, Arnu Pretorius

NeurIPS 2023 Nonparametric Boundary Geometry in Physics Informed Deep Learning Scott Cameron, Arnu Pretorius, S Roberts

NeurIPSW 2023 Offline RL for Generative Design of Protein Binders Denis Tarasov, Ulrich Armel Mbou Sob, Miguel Arbesú, Nima H. Siboni, Sebastien Boyer, Andries Petrus Smit, Oliver Bent, Arnu Pretorius, Marcin J. Skwark

ICLRW 2023 Reduce, Reuse, Recycle: Selective Reincarnation in Multi-Agent Reinforcement Learning Juan Claude Formanek, Callum Rhys Tilbury, Jonathan Phillip Shock, Kale-ab Tessera, Arnu Pretorius

ICLR 2022 Robust and Scalable SDE Learning: A Functional Perspective Scott Alexander Cameron, Tyron Luke Cameron, Arnu Pretorius, Stephen J. Roberts

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

NeurIPS 2022 Universally Expressive Communication in Multi-Agent Reinforcement Learning Matthew Morris, Thomas D Barrett, Arnu Pretorius

NeurIPS 2020 A Game-Theoretic Analysis of Networked System Control for Common-Pool Resource Management Using Multi-Agent Reinforcement Learning Arnu Pretorius, Scott Cameron, Elan van Biljon, Thomas Makkink, Shahil Mawjee, Jeremy du Plessis, Jonathan Shock, Alexandre Laterre, Karim Beguir

NeurIPS 2018 Critical Initialisation for Deep Signal Propagation in Noisy Rectifier Neural Networks Arnu Pretorius, Elan van Biljon, Steve Kroon, Herman Kamper

ICML 2018 Learning Dynamics of Linear Denoising Autoencoders Arnu Pretorius, Steve Kroon, Herman Kamper