Doctoral Consortium

Accepted Doctoral Consortium papers

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• Jorge Baier and Sheila McIlraith (University of Toronto), Planning with temporally extended goals using heuristic search
• Gregory Beaumet, Continuous planning for the control of an autonomous agile satellite
• J. Benton, Solving goal utility dependencies and simple preferences in partial satisfaction planning
• Daniel Bryce, Sequential Monte Carlo in probabilistic planning reachability heuristics
• Blazej Bulka, Analyzing, learning, and shaping planning search spaces
• Lukas Chrpa, Linear logic in planning
• Andrew Coles, Generic types and their use in improving the quality of search heuristics
• Rocio Duran, Integrating macro-operators and control-rules learning
• Janae Foss, Techniques for generating optimal, robust plans in the presence of temporal uncertainty
• Matthieu Gallien, Controlability and Makespan issues with robot action planning and execution
• Peter Gregory, Derek Long, and Maria Fox, Backdoors in planning and scheduling problems
• Natalia Gardiol and Leslie Pack Kaelbling, Computing action equivalences for planning
• Sarah Hickmott, Concurrent planning using Petri Net unfoldings
• Branislav Kveton and Milos Hauskrecht, On the smoothness of linear value function approximations
• Peter Lamborn and Eric Hansen, Memory-efficient graph search in planning and model checking
• Stephen Lee-Urban and Hector Munoz-Avila, A study of process languages for planning tasks
• M. Gourgand, N. Grangeon, D. Lemoine, and S. Norre, Software tool for the master production schedule conception based on the Capacitated Lot Sizing Problem
• Iain Little, Towards efficient probabilistic temporal planning
• Mausam and Daniel Weld, Challenges for temporal planning with uncertain durations
• Michael Moffitt, Efficient and expressive extensions of constraint-based temporal reasoning
• Evdokia Nikolova, Path planning under uncertainty: Complexity and algorithms
• Hector Palacios and Hector Geffner, Easy and hard conformant planning
• David Pardoe, Predictive planning for supply chain management: Adapting to competitor behavior
• Riccardo Rasconi, Integration of constraint-based off-line and on-line approaches to project scheduling
• Palao Reines, Improving planning techniques for web services
• Mark Roberts, Exploiting portfolio strategy to explore the interaction of problems and algorithms in AI planning
• Mark Rogers, Infeasible search analysis for oversubscribed scheduling problems
• Scott Sanner, First-order decision-theoretic planning
• Olga Skvortsova, Say "no" to grounding: An inference algorithm for first-order MDPs
• Amanda Smith, Extending the use of plateau-escaping macro-actions in planning
• Matthew Streeter and Stephen Smith, Selecting among heuristics by solving thresholded k-armed bandit problems
• James Thomas, Collaborative authoring of plan-based interactive narrative
• Menkes van den Briel, Planning with preferences and trajectory constraints by integer programming
• Christine Wu, Kenneth Brown, and J. Beck, Scheduling with uncertain durations: Generating beta-robust schedules using constraint programming
• SungWook Yoon, Discrepancy search with reactive policies for planning
• Alessandro Zanarini, Planning with soft regular constraints

Call for Doctoral Consortium

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The International Conference on Automated Planning and Scheduling (ICAPS'06) invites PhD students to apply for the Doctoral Consortium.

The Doctoral Consortium is a graduate student mentoring program that will introduce students to senior researchers with similar interests. To give the Doctoral Consortium participants an opportunity to meet each other, a lunchtime panel on effective research strategies will be held on the first day of the conference (June 8). A poster session for the Doctoral Consortium will be held that evening, in conjunction with software demonstrations and a poster session for the main conference.

Each student will be matched to a senior researcher and will meet their mentor in a relatively informal setting (lunch). Students accepted in the Doctoral Program will receive a scholarship that covers conference registration and part of their travel expenses.

We encourage submissions from Ph.D. students at any stage and from any topic area within Planning and Scheduling. Preference will be given to students who are far enough along to have formulated their dissertation topic. Applicants should submit an extended abstract of three (3) pages maximum by email to the Doctoral Consortium chair. The submission should be in AAAI style format and sent either as a PostScript or as a PDF file. It should describe original, unpublished work, completed or in progress, that is part of the doctoral work of the student. If an extended version of the paper is also submitted to the technical consortium, please indicate this in the submission. In addition, the dissertation advisor should send a letter of recommendation by e-mail to the Doctoral Consortium chair. It should indicate when the student is expected to complete his/her dissertation and explain how the student would benefit from participation in the Doctoral Consortium.

Upcoming Deadlines

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	Submission deadline (extended)	Notification date	Doctoral Consortium panel and poster session
Doctoral consortium	20th March 2006	31st March 2006	8th June 2006

Doctoral Consortium Chairs

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• Jeremy Frank, NASA Ames Research Center, USA.

• Marie desJardins, UMBC, USA.