Franki NGUIMATSIA TIOFACK

Guided Flow Policy: Learning from High-Value Actions in Offline Reinforcement Learning

Offline reinforcement learning often relies on behavior regularization that enforces policies to remain close to the dataset distribution. However, such approaches fail to distinguish between high-value and low-value actions in their regularization components. We introduce Guided Flow Policy (GFP),…