Towards Monotonic Improvement in In-Context Reinforcement Learning

Wenhao Zhang, Shao Zhang, Xihuai Wang +2

In-Context Reinforcement Learning (ICRL) has emerged as a promising paradigm for developing agents that can rapidly adapt to new tasks by leveraging past experiences as context, wi…