2026
Behavior Regularization with Flow Latent Policy for Offline Reinforcement Learning
AAAI 2026technical
Expressive generative models have recently shown promise in offline reinforcement learning (RL) by capturing the complex, multimodal structure of dataset behavior. However, directly integrating these models into policy optimization introduces substantial computational and stability challenges due to