Reinforcement Learning Primer
Q-Learning and DQN — From a Q-Table to Deep Reinforcement Learning
Q-learning updates action values with the Bellman optimality target. This primer follows the path from a tabular Q-table to a Deep Q-Network, explaining experience replay, target networks, overestimation, and safe placement in a robot stack.