courses:pui:lectures [CourseWare Wiki]

Lecture plan 2022/2023

All lectures are in KN:E-301 (K9) each Monday 9:15–10:45.

Recorded lectures are available at PUI playlist.

Lecture	Date	Lecturer	Contents	Materials
1.	20/2	Antonín Komenda	Introduction to Automated Planning / Motivation	Presentation (animated), Presentation
2.	27/2	Antonín Komenda	Planning Problem Formulations	Presentation
3.	6/3	Antonín Komenda	Search	Presentation
4.	13/3	Jan Dolejší	Invited lecture - Practically Used Automated Planning	Presentation
5.	20/3	Antonín Komenda	Relaxation Heuristics	Presentation
6.	27/3	Antonín Komenda	Landmarks	Presentation
7.	3/4	Antonín Komenda	Potential Heuristics and Abstractions	Presentation 1, Presentation 2
8.	~~10/4~~		Easter Monday
9.	17/4	Stefan Edelkamp	Nondeterministic Planning, MCTS	Nondeterministic Planning MCTS
10.	24/4	Stefan Edelkamp	Probabilistic Planning	Probabilistic Planning
11.	4/5	Stefan Edelkamp	Temporal Planning	Temporal Planning
12.	9/5	Stefan Edelkamp	Preferences, SAT and Symbolic Planning	Preferences SAT and Symbolic Planning
13.	15/5	Stefan Edelkamp	Planning in Robotics	Planning in Robotics
14.	22/5	Stefan Edelkamp, Antonín Komenda	Neuro-Symbolic Planning and Exam	Neuro-Symbolic Planning and Revision

Obsah	Materiály	Video
Planning as general problem solving, descriptive problem specification.	1	1
Planning as heuristic search with domain-independent heuristics – delete relaxation based heuristics – abstraction based heuristics	2	2a 2b 2c
Planning as SAT	3	3a 3b 3c
Partial order planning – plan-space search (variants of the POP algorithm) – partial-order planning via CSP	3	4a 4b 4c
Partial order planning – plan-space search (variants of the POP algorithm) – partial-order planning via CSP	4 5	5a 5b 5c