Self-Check
Overall Progress
0%
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.
12 questions covering supervised learning, gradient descent, model evaluation, and sklearn. Pass: 9/12.
12 questions covering neural networks, backpropagation, training loops, and CNNs. Pass: 9/12.
15 questions spanning Volumes 6–10: model-based RL, exploration, offline RL, multi-agent, and real-world applications.