Arnu Pretorius

Multi-Task Sequence Models Generalize in Offline Multi-Agent Reinforcement Learning

Breaking the Performance Ceiling in Reinforcement Learning requires Inference Strategies

Memory-Enhanced Neural Solvers for Routing Problems

Oryx: a Scalable Sequence Model for Many-Agent Coordination in Offline MARL

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

Performant, Memory Efficient and Scalable Multi-Agent Reinforcement Learning

Memory-Enhanced Neural Solvers for Efficient Adaptation in Combinatorial Optimization