2026
MAGE: Multi-scale Autoregressive Generation for Offline Reinforcement Learning
ICLR 2026poster
Generative models have gained significant traction in offline reinforcement learning (RL) due to their ability to model complex trajectory distributions. However, existing generation-based approaches still struggle with long-horizon tasks characterized by sparse rewards. Some hierarchical generation…