• RL Chapter 4 (Dynamic Programming)
• RL Chapter 5 (Monte Carlo Methods)
• RL Chapter 6 (Temporal Difference Learning)
• RL Chapter 7 (n-step Bootstrapping)
• RL Chapter 8 (Planning & Learning with Tabular Methods)
• RL Chapter 9 (On-Policy Prediction with Approximation)
• RL Chapter 10 (On-Policy Control with Approximation)
• RL Chapter 12 (Eligibility Traces)
• Sandboxxxx