Deep Reinforcement Learning: Part2

Continung on explaining deep reinforcement learning, Prof. Lai first talks about the fundamental problem of Reinforcement Learning, exploration versus exploitation problem.

Then, he tells the Q-learning, which is a common reinforcement learning algorithm. Q-learning is a value-based Reinforcement algorithm, which aims to learn a Q-function that can evaluate the quality of each action or state pair.