Algorithms for Decision Making

Algorithms for Decision Making is a broad introduction to algorithms for decision making under uncertainty, introducing the underlying mathematical problem formulations and the algorithms for solving them.

Table of Contents

• Introduction
• Representation
• Inference
• Parameter Learning
• Structure Learning
• Simple Decisions
• Exact Solution Methods
• Approximate Value Functions
• Online Planning
• Policy Search
• Policy Gradient Estimation
• Policy Gradient Optimization
• Actor-Critic Methods
• Policy Validation
• Exploration and Exploitation
• Model-Based Methods
• Model-Free Methods
• Imitation Learning
• Beliefs
• Exact Belief State Planning
• Offline Belief State Planning
• Online Belief State Planning
• Controller Abstractions
• Multiagent Reasoning
• Sequential Problems
• State Uncertainty
• Collaborative Agents

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