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0.0. AIPLAN - Introduction
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1.0. AIPLAN - Welcome
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1.1. AIPLAN - What Is Planning?
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1.2. AIPLAN - Conceptual Model
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1.3a. AIPLAN - Planning and Search
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1.3b. AIPLAN - Planning and Search
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1.4. AIPLAN - Example Problems
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[Feature] AIPLAN - Artificial Intelligence Planning for Robots
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1.5. AIPLAN - Context Practical Systems
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1.6. AIPLAN - Context Tasking Execution Agents and Plans
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1.7. AIPLAN - Context Example Planners
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1.8. AIPLAN - Context Planning Plus Plus
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2.0. AIPLAN - Week 2 Introduction
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2.1. AIPLAN - Heuristic Strategies
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2.2. AIPLAN - A* Tree Search
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2.3. AIPLAN - Properties of A*
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2.4a. AIPLAN - A* Graph Search
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2.4b. AIPLAN - A* Graph Search
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2.5. AIPLAN - Good Heuristics
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[Feature] AIPLAN - Nils Nilsson on A* and STRIPS
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2.6a. AIPLAN - Structured States
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2.6b. AIPLAN - Structured States
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2.7a. AIPLAN - Structured Operators
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2.7b. AIPLAN - Structured Operators
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2.8a. AIPLAN - Domains and Problems
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2.8b. AIPLAN - Domains and Problems
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2.8c. AIPLAN - Domains and Problems
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2.9a. AIPLAN - Forward Search
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2.9b. AIPLAN - Forward Search
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2.10. AIPLAN - Backward Search
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3.0. AIPLAN - Week 3 Introduction
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3.1. AIPLAN - Partial Plans
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3.2a. AIPLAN - Plan Refinements
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3.2b. AIPLAN - Plan Refinements
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3.3. AIPLAN - Plan Space Search
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3.4. AIPLAN - Threats and Flaws
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3.5. AIPLAN - PSP Algorithm
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3.6a. AIPLAN - PSP Implementation
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3.6b. AIPLAN - PSP Implementation
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3.7. AIPLAN - The PoP Planner
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3.8a. AIPLAN - Task Networks
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3.8b. AIPLAN - Task Networks
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3.9a. AIPLAN - Methods
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3.9b. AIPLAN - Methods
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3.10. AIPLAN - Decomposition
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3.11. AIPLAN - Domains etc
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3.12a. AIPLAN - STN Planning
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3.12b. AIPLAN - STN Planning
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3.13. AIPLAN - HTN Planning
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[Feature] AIPLAN - David Wilkins SIPE 2
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4.0. AIPLAN - Week 4 Introduction
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4.1. AIPLAN - DWR Example
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4.2a. AIPLAN - Basic Planning Graph
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4.2b. AIPLAN - Basic Planning Graph
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4.3. AIPLAN - Layered Plans
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4.4a. AIPLAN - Mutex Relations
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4.4b. AIPLAN - Mutex Relations
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4.5. AIPLAN - Forward Graph Expansion
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4.6a. AIPLAN - Backward Graph Search
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4.6b. AIPLAN - Backward Graph Search
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4.7. AIPLAN - Graphplan Algorithm
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[Feature] AIPLAN - Joerg Hoffmann on Heuristic Search
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4.8. AIPLAN - Planning Graph Heuristics
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4.9. AIPLAN - Pattern Databases
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4.10. AIPLAN - The FF Planner
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5.0. AIPLAN - Week 5 Introduction
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5.1. AIPLAN - AI Planning Execution DS1
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5.2. AIPLAN - AI Practical Planners
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[Feature] AIPLAN - Brad Clement AI Planning for Space
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5.3. AIPLAN - Before Planning
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5.4a. AIPLAN - Plan Generation
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5.4b. AIPLAN - Plan Generation
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5.5. AIPLAN - Scheduling
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5.6. AIPLAN - After Planning
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5.7. AIPLAN - Conclusion
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A.1. AIPLAN - Nonlin Demos
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A.1. AIPLAN - Nonlin Demos 720x480
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A.2. AIPLAN - O Plan Unix Systems Admin
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A.3. AIPLAN - I-X CoSAR-TS
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A.4. AIPLAN - I-X I-Globe Sensemaker
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[Feature] AIPLAN - Alex Champandard on AI Planning in Games
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[Feature] AIPLAN - Arturo Gonzalez Ferrer AI Planning in Medicine
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[Feature] AIPLAN - AI Planning for Space Supplement
Description:
This is free online course is AI planning offered by Dr. Gerhard Wickler and Prof. Austin Tate from the University of Edinburgh. The aim of the course is to provide a basic grounding in AI techniques for planning with an overview of the wide spectrum of problems and approaches including their underlying theory and applications.
Artificial Intelligence Planning
University of Edinburgh
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