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Louise Beyers

2 accepted papers

2025

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

ICML 2025poster

As multi-agent reinforcement learning (MARL) progresses towards solving larger and more complex problems, it becomes increasingly important that algorithms exhibit the key properties of (1) strong performance, (2) memory efficiency, and (3) scalability. In this work, we introduce Sable, a performant…

2024

Dispelling the Mirage of Progress in Offline MARL through Standardised Baselines and Evaluation

NeurIPS 2024poster

Offline multi-agent reinforcement learning (MARL) is an emerging field with great promise for real-world applications. Unfortunately, the current state of research in offline MARL is plagued by inconsistencies in baselines and evaluation protocols, which ultimately makes it difficult to accurately a…