Part I Probabilistic reasoning : 2. Representation. -- 3 Inference.. -- 4 Parameter Learning -- 5 Structure Learning -- 6 Simple Decisions -- Part II Sequential problems : 7 Exact Solution Methods -- 8 Approximate Value Functions -- 9 Online Planning -- 10 Policy Search -- 11 Policy Gradient Estimation -- 12 Policy Gradient Optimization -- 13 Actor-Critic Methods -- 14 Policy Validation -- Part III Model uncertainty : 15 Exploration and Exploitation -- 16 Model-Based Methods -- 17 Model-Free Methods -- 18 Imitation Learning -- Part IV State uncertainty : 19 Beliefs -- 20 Exact Belief State Planning -- 21 Offline Belief State Planning -- 22 Online Belief State Planning -- 23 Controller Abstractions -- Part V Multiagent systems : 24 Multiagent Reasoning -- 25 Sequential Problems -- 26 State Uncertainty -- 27 Collaborative Agents -- Appendices : A Mathematical Concepts. -- B Probability Distributions. -- C Computational Complexity. -- D Neural Representations. -- E Search Algorithms. -- F Problems

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