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A Concise introduction to models and methods for automated planning

A Concise introduction to models and methods for automated planning
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10022730 Access this eBook online Ebook for Urban Planning   GUtech Library . . Available .  
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ISBN 9781608459704
9781608459698
Author Geffner, Hector
Title A Concise introduction to models and methods for automated planning
Description 1 online resource (143 pages)
Contents Preface -- Planning and Autonomous Behavior -- Autonomous Behavior: Hardwired, Learned, and Model-based -- Planning Models and Languages -- Generality, Complexity, and Scalability -- Examples -- Generalized Planning: Plans vs. General Strategies -- History -- Classical Planning: Full Information and Deterministic Actions -- Classical Planning Model -- Classical Planning as Path Finding -- Search Algorithms: Blind and Heuristic -- Online Search: Thinking and Acting Interleaved -- Where do Heuristics come from? -- Languages for Classical Planning -- Domain-Independent Heuristics and Relaxations -- Heuristic Search Planning -- Decomposition and Goal Serialization -- Structure, Width, and Complexity -- Classical Planning: Variations and Extensions -- Relaxed Plans and Helpful Actions -- Multi-Queue Best-First Search -- Implicit Subgoals: Landmarks -- State-of-the-Art Classical Planners -- Optimal Planning and Admissible Heuristics -- Branching Schemes and Problem Spaces -- Regression Planning -- Planning as SAT and Constraint Satisfaction -- Partial-Order Causal Link Planning -- Cost, Metric, and Temporal Planning -- Hierarchical Task Networks -- Beyond Classical Planning: Transformations -- Soft Goals and Rewards -- Incomplete Information -- Plan and Goal Recognition -- Finite-State Controllers -- Temporally Extended Goals -- Planning with Sensing: Logical Models -- Model and Language -- Solutions and Solution Forms -- Offline Solution Methods -- Online Solution Methods -- Belief Tracking: Width and Complexity -- Strong vs. Strong Cyclic Solutions -- MDP Planning: Stochastic Actions and Full Feedback -- Goal, Shortest-Path, and Discounted Models -- Dynamic Programming Algorithms -- Heuristic Search Algorithms -- Online MDP Planning -- Reinforcement Learning, Model-based RL, and Planning -- POMDP Planning: Stochastic Actions and Partial Feedback.
Goal, Shortest-Path, and Discounted POMDPs -- Exact Offline Algorithms -- Approximate and Online Algorithms -- Belief Tracking in POMDPs -- Other MDP and POMDP Solution Methods -- Discussion -- Challenges and Open Problems -- Planning, Scalability, and Cognition -- Bibliography -- Author's Biography.
Subject Artificial intelligence
Computer simulation
Electronic books
E-book
Other name(s) Bonet, Blai
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