Deep Q-Networks: Experience Replay and Target Networks
In the Q-learning post, we trained an agent to navigate a 4×4 frozen lake using a simple lookup table — 16 states × 4 actions = 64 numbers. But what happens when the state space isn't a grid?
CartPole
sesenai.hashnode.dev22 min read