[UCLA RL-LLM] Chapter 1.1: MDP foundations, imitation learning, and value iteration
Ernest Ryu · 95:47
This is the first lecture in a course on reinforcement learning (RL) for large language models (LLMs) and test-time scaling. It covers only the theory needed later in the course: Markov decision processes (MDPs), imit...