Practice

25 mini-challenges combining variables, loops, functions, lists, dicts, and imports. Complete before Phase 1.

15 problems combining Python, probability, and toy RL. Complete before starting Volume 1.

Practice habits, when to peek at the solution, and building a coding routine.

15 short drill problems covering supervised learning, gradient descent, evaluation, and sklearn.

15 short drill problems for Volume 1: discounted return, MDPs, value functions, Bellman equations, and dynamic programming.

15 short drill problems for Volume 2: Monte Carlo, TD(0), SARSA, Q-learning, and n-step methods.

15 short drill problems for Volume 3: linear FA, semi-gradient TD, DQN, replay buffer, target network, Double DQN, and dueling networks.