Arnu Pretorius

Computer Science · Physical Sciences

7h-index163citations49works0.22yr avg
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Research Topics

Reinforcement Learning in Robotics(18), Neural Networks and Applications(5), Evolutionary Algorithms and Applications(4), Avian ecology and behavior(3), Metaheuristic Optimization Algorithms Research(3)

Publications49 total

Physics informed Transformer-VAE for biophysical parameter estimation: PROSAIL model inversion in Sentinel-2 imagery
arXiv (Cornell University)·2025Open Access
InstaGeo: Compute-Efficient Geospatial Machine Learning from Data to Deployment
arXiv (Cornell University)·2025Open Access
Breaking the Performance Ceiling in Reinforcement Learning requires Inference Strategies
ArXiv.org·2025Open Access
Multi-Agent Reinforcement Learning with Selective State-Space Models
arXiv (Cornell University)·2024Open Access
Sable: a Performant, Efficient and Scalable Sequence Model for MARL
arXiv (Cornell University)·2024Open Access
Putting Data at the Centre of Offline Multi-Agent Reinforcement Learning
arXiv (Cornell University)·2024Open Access
Generative Model for Small Molecules with Latent Space RL Fine-Tuning to Protein Targets
arXiv (Cornell University)·2024Open Access
Coordination Failure in Cooperative Offline MARL
arXiv (Cornell University)·2024Open Access
Memory-Enhanced Neural Solvers for Routing Problems
arXiv (Cornell University)·2024· 1 citedOpen Access
Dispelling the Mirage of Progress in Offline MARL through Standardised Baselines and Evaluation
arXiv (Cornell University)·2024Open Access
A Geospatial Approach to Predicting Desert Locust Breeding Grounds in Africa
arXiv (Cornell University)·2024· 1 citedOpen Access
Dispelling the Mirage of Progress in Offline MARL through Standardised Baselines and Evaluation
2024
Efficiently Quantifying Individual Agent Importance in Cooperative MARL
arXiv (Cornell University)·2023Open Access
How much can change in a year? Revisiting Evaluation in Multi-Agent Reinforcement Learning
arXiv (Cornell University)·2023Open Access
On Diagnostics for Understanding Agent Training Behaviour in Cooperative MARL
arXiv (Cornell University)·2023Open Access
Offline RL for generative design of protein binders
2023Open Access
Generalisable Agents for Neural Network Optimisation
arXiv (Cornell University)·2023Open Access
Combinatorial Optimization with Policy Adaptation using Latent Space Search
arXiv (Cornell University)·2023· 2 citedOpen Access
Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX
arXiv (Cornell University)·2023· 3 citedOpen Access
Selective Reincarnation: Offline-to-Online Multi-Agent Reinforcement Learning
arXiv (Cornell University)·2023Open Access
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Frequent Co-authors

Claude Formanek(11), Herman Kamper(10), Jonathan P. Shock(10), Ruan de Kock(10), Elan van Biljon(9), Omayma Mahjoub(9), Kale-ab Tessera(7), Callum Rhys Tilbury(7), Steve Kroon(6), Alexandre Laterre(6), Sasha Abramowitz(6), Siddarth Singh(5), Louise Beyers(5), Herman A. Engelbrecht(4), Andries P. Smit(4), Karim Beguir(4), Ibrahim Salihu Yusuf(4), Wiem Khlifi(4), Ryan Eloff(3), Benjamin van Niekerk(3)