Yushu Jiang

In-Context Compositional Q-Learning for Offline Reinforcement Learning

Accurately estimating the Q-function is a central challenge in offline reinforcement learning. However, existing approaches often rely on a single global Q-function, which struggles to capture the compositional nature of tasks involving diverse subtasks. We propose In-context Compositional Q-Learnin…