MA-MuJoCo
Emerging4papers using it
2026first seen
The 'MA-MuJoCo' dataset/benchmark is a multi-agent environment used to evaluate the performance of algorithms in offline multi-agent reinforcement learning, focusing on inter-agent coordination and decision-making efficiency.
Papers using MA-MuJoCo (4)
- CoFlow: Coordinated Few-Step Flow for Offline Multi-Agent Decision MakingSTAIRS-Former: Spatio-Temporal Attention with Interleaved Recursive Structure Transformer for Offline Multi-task Multi-agent Reinforcement LearningPrism: Spectral Parameter Sharing for Multi-Agent Reinforcement LearningDiffusing to Coordinate: Efficient Online Multi-Agent Diffusion Policies