Transfer learning is a machine learning technique that leverages knowledge acquired in one domain to enhance performance on a related task. This technique has been adopted in financial data and medical data analysis.It plays a central role in the success of large language models (LLMs) such as GPT and BERT.  In this talk, I will discuss how reinforcement learning (RL), and in particular continuous time RL, can benefit from transfer learningprinciples.