Assignment #2 - Probabilistic Planner

Description of the assignment: presentation

Dataset: dataset-assignment2.zip

Submission deadline for tutor feedback (if you want it): 15. 5. 2023

Final submission deadline: 28. 5. 2023

Please report any issues with the assignment to mrkosja1@fel.cvut.cz for extra credit.

Please submit your report together with any source code and README that describes how to run your simulations into BRUTE, as a single archive (zip, tar, tgz, bz2).

If possible, please include the report in the top-level folder of the archive and name it report_YourCtuLogin.pdf. If possible, save your report as .pdf. Include your source codes in a subfolder of the archive.

• We 25. 5., 13:00-14:00, KN:E-326
• Thu 26. 5. 13:00-14:00, KN:E-326

Please let me know if you run into issues accessing the following resources. Fundamentals:

• Book: Russell, Stuart, and Peter Norvig. Artificial Intelligence: A Modern Approach. Third edition. Prentice Hall, 1995, chapter 17.

Value iteration extensions:

• Book: Mausam, and Andrey Kolobov. Planning with Markov Decision Processes: An AI Perspective, 2016, sections of chapter 3.

Monte-Carlo Tree Search (UCT):

• Online book: Kochenderfer, Mykel J., Tim A. Wheeler, and Kyle H. Wray. Algorithms for Decision Making. Cambridge, MA, USA: MIT Press, 2022, https://algorithmsbook.com/, section 9.6, pages 187-197
• Book: Mausam, and Andrey Kolobov. Planning with Markov Decision Processes: An AI Perspective, 2016, pages 111-113.