Overview

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.