- Classroom: DBH 1425
- Day: Wednesday
- Time: 3:00 - 4:50p
- Instructor: Rina Dechter - dechter@ics.uci.edu
This seminar will focus on planning as inference.
Relevant sources:
- A Concise Introdudction to Models and Methods for Automated Planning
Hector Geffner and Blai Bonet
- Decision-Theoretic Planning: Structural Assumptions and Computational Leverage
Craig Boutilier, Thomas Dean, and Steve Hanks
Journal of Artificial Intelligence Research, 1999
- List of Accepted Papers at ICAPS 2013
- ICAPS Proceedings
- Papers by Carmel Domshlak
- To UCT, or not to UCT? (Position Paper)
[pdf]
Carmel Domshlak, Zohar Feldman
SOCS-13. 6th Annual Symposium on Combinatorial Search, Leavenworth, WA, USA, July 2013.
- Monte-Carlo Planning: Theoretically Fast Convergence Meets Practical Efficiency
[pdf]
Zohar Feldman, Carmel Domshlak
UAI-13. 29th Conference on Uncertainty in Artificial Intelligence, Bellevue, WA, USA, July 2013.
- Fault tolerant contingent planning: Complexity and compilation
[pdf]
Carmel Domshlak
ICAPS-13. 23nd International Conference on Automated Planning and Scheduling, Rome, Italy, June 2013.
- Planning for Operational Control Systems with Predictable Exogenous Events
Ronen Brafman, Carmel Domshlak, Yagil Engel, and Zohar Feldman
AAAI-11, 25th AAAI Conference on
Artificial Intelligence, San-Francisco, CA, USA, August 2010.
- Probabilistic Planning via Heuristic Forward Search and Weighted Model Counting
[abstract,
pdf]
Carmel Domshlak, Joerg Hoffmann
Journal of Artificial Intelligence Research,
volume 30, pp 565-620, 2007.
- Fast Probabilistic Planning Through Weighted Model Counting
[pdf,
slides]
Carmel Domshlak, Joerg Hoffmann
ICAPS-06. 16th International Conference on Automated Planning and Scheduling, pp 243-252, The English Lake District, U.K., September 2006.
- Marc Toussaint Papers
- Probabilistic inference for solving (PO)MDPs [pdf]
Marc Toussaint, Stefan Harmeling, and Amos Storkey
Technical Report EDI-INF-RR-0934, University of Edinburgh, School of Informatics, 2006.
- Nice applications that demonstrate efficiency in challenging domains are:
- Hierarchical POMDP Controller Optimization by Likelihood Maximization [pdf]
Marc Toussaint, Laurent Charlin, and Pascal Poupart
In Uncertainty in Artificial Intelligence (UAI 2008), 562-570, AUAI Press, 2008.
- Scalable Multiagent Planning Using Probabilistic Inference [pdf]
Akshat Kumar, Shlomo Zilberstein, and Marc Toussaint
In Proc. of the 22nd Int. Joint Conf. on Artificial Intelligence (IJCAI 2011),2011.
Schedule
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