Reinforcement Learning Evolution

Sergey discusses the evolution of reinforcement learning, from the early struggles with neural nets to the emergence of deep reinforcement learning methods. He highlights the importance of utilizing good model-based optimal control techniques and the power of supervising reinforcement learning methods with other sources of experience, as seen in offline reinforcement learning.