Reward Is Enough: LLMs Are In-Context Reinforcement Learners

Kefan Song, Amir Moeini, Peng Wang +4

Reinforcement learning (RL) is a framework for solving sequential decision-making problems. In this work, we demonstrate that, surprisingly, RL emerges during the inference time of…