Solutions

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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.

5โ€“8 questions to check readiness after prerequisites. Solutions included.

12 questions covering supervised learning, gradient descent, model evaluation, and sklearn. Pass: 9/12.

10โ€“15 questions on MDPs, Bellman, MC vs TD, SARSA vs Q-learning. Solutions included.

10โ€“12 questions on DQN, policy gradient, PPO, replay, target network. Solutions included.

15 questions spanning Volumes 6โ€“10: 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.