Solutions
10 Python questions to check readiness after Phase 0. Includes writing functions, finding bugs, and predicting output.
10 questions to check readiness after the Math for RL track. Solutions included.
5โ8 questions to check readiness after prerequisites. Solutions included.
12 questions covering supervised learning, gradient descent, model evaluation, and sklearn. Pass: 9/12.
10โ15 questions on MDPs, Bellman, MC vs TD, SARSA vs Q-learning. Solutions included.
10โ12 questions on DQN, policy gradient, PPO, replay, target network. Solutions included.
15 questions spanning Volumes 6โ10: model-based RL, exploration, offline RL, multi-agent, and real-world applications.
Where to find step-by-step solutions and worked examples across the RL curriculum site.