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…