Reinforcement Learning, Deep Learning, Machine Learning, Neural Networks, Algorithms.
using a deep neural network to approximate the Q-function. In DQN, the agent uses a neural network to estimate the Q-values of each possible action in a given state. The network takes the state as input and outputs the estimated Q-values for each possible action. The agent then selects the action