Overview

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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.

Syllabus

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