Train Station, Reinforcement Learning, Machine Learning, Editors Pick, Thoughts And Theory.
action. The desired policy should be the one that maximise the Q-value which are in general unknown and thus yields Q-learning as a “cheatsheet” for the agent [3]. The DQN aims to approximate the Q-value by a deep neural network. In my implementation, I built a DQN with 2 layers of size 64 with the