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Call for papers
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Accepted papers
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System Demonstrations
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International Planning Competition
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Doctoral Consortium
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Summer School
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Organization
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ICAPS
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Click image to download Poster (size: A1)
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(click here for Short Papers)
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Bounded Branching and Modalities in Non-Deterministic Planning
Blai Bonet
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Optimal Rectangle Packing: A Meta-CSP Approach
Michael Moffitt, Martha Pollack
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New Complexity Results for Classical Planning Benchmarks
Malte Helmert
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Metatheoretic Plan Summarization and Comparison
Karen Myers
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Combining Knowledge Compilation and Search for Efficient Conformant Probabilistic Planning
Jinbo Huang
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Fast Probabilistic Planning Through Weighted Model Counting
Carmel Domshlak, Joerg Hoffmann
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An affectively driven planner for synthetic characters
Ruth Aylett, Joao Dias, Ana Paiva
- Safe LTL Assumption-Based Planning
Alexandre Albore, Piergiorgio Bertoli
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Sequential Monte Carlo in Probabilistic Planning Reachability Heuristics
Daniel Bryce, Subbarao Kambhampati, David Smith
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An Empirical Study of Multi-Point Constructive Search for Constraint-Based Scheduling
Chris Beck
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Predictive Planning for Supply Chain Management
David Pardoe, Peter Stone
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Concurrent Probabilistic Planning in the Graphplan Framework
Iain Little, Sylvie Thiebaux
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Optimal Route Planning under Uncertainty
Evdokia Nikolova, Matthew Brand, David Karger
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Efficiently handling temporal knowledge in an HTN planner
Luis Castillo, Juan Fdez-Olivares, Oscar Garcia-Perez, Francisco Palao Reinés
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Plan Stability: Replanning versus Plan Repair
Maria Fox, Alfonso Gerevini, Derek Long, Ivan Serina
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Structure and Problem Hardness: Goal Asymmetry and DPLL Proofs in SAT-Based Planning
Joerg Hoffmann, Carla Gomes, Bart Selman
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Friends or Foes? An AI Planning Perspective on Abstraction and Search
Joerg Hoffmann, Ashish Sabharwal, Carmel Domshlak
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Feature Evaluation in Mixed-Initiative Systems: An Experimental Approach
Gabriella Cortellessa, Amedeo Cesta
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Lemma Reusing for SAT based Planning and Scheduling
Hidetomo Nabeshima, Takehide Soh, Katsumi Inoue, Koji Iwanuma
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Exploiting the Power of Local Search in a Branch and Bound Algorithm for Job Shop Scheduling
Matthew Streeter, Stephen Smith
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Learning Heuristic Functions from Relaxed Plans
Sungwook Yoon, Alan Fern, Robert Givan
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Learning Depth-First Search
Blai Bonet, Hector Geffner
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Tractable Optimal Competitive Scheduling
Jeremy Frank, James Crawford, Lina Khatib, Ronen Brafman
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Looking for Shortcuts: Infeasible Search Analysis for Oversubscribed Scheduling Problems
Mark Rogers, Adele Howe, Darrell Whitley
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Goal Achievement in Partially Known, Partially Observable Domains
Allen Chang, Eyal Amir
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Bringing Users and Planning Technology Together. Experiences in SIADEX
Juan Fdez-Olivares, Luis Castillo, Oscar Garcia-Perez, Francisco Palao Reinés
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Scalable Planning for Distributed Stream Processing Systems
Anton Riabov, Zhen Liu
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Solving Factored MDPs with Exponential-Family Transition Models
Branislav Kveton, Milos Hauskrecht
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On Some Tractable Cases of Logical Filtering
T. K. Satish Kumar, Stuart Russell
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Explanation-Based Acquisition of Planning Operators
Geoffrey Levine, Gerald DeJong
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Stochastic Over-subscription Planning using Hierarchies of MDPs
Nicolas Meuleau, Ronen Brafman, Emmanuel Benazera
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Memory-Efficient Symbolic Heuristic Search
Rune Jensen, Eric Hansen, Simon Richards, Rong Zhou
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Incremental Scheduling to Maximize Quality in a Dynamic Environment
Terry Zimmerman, Anthony Gallagher, Stephen Smith
(click here for Long Papers)
- A Multi-Start Very Large Neighbourhood Search Approach with Local Search Methods for Examination Timetabling
Salwani Abdullah and Edmund K. Burke
- SEMAPLAN: Combining Planning with Semantic Matching to Achieve Web Service Composition
Rama Akkiraju, Biplav Srivastava, Anca-Andreea Ivan, Richard Goodwin, and Tanveer Syeda-Mahmood
- Planning with Temporally Extended Goals Using Heuristic Search
Jorge A. Baier and Sheila A. McIlraith
- Run-Time Monitoring of the Execution of Plans for Web Service Composition
Fabio Barbon, Paolo Traverso, Marco Pistore, and Michele Trainotti
- Incremental Maintenance of Double Precedence Graphs: A Constraint-Based Approach
Roman Barták and Ondrej Cepek
- Towards Strong Cyclic Planning under Partial Observability
Piergiorgio Bertoli, Alessandro Cimatti, and Marco Pistore
- Automated Web Service Composition by On-the-Fly Belief Space Search
Piergiorgio Bertoli, Marco Pistore, and Paolo Traverso
- RRT-Plan: A Randomized Algorithm for STRIPS Planning
Daniel Burfoot, Joelle Pineau, and Gregory Dudek
- Motion Economy and Planning
Özgen Canan and Aysenur Birtürk
- Lessons Learned in Applying Domain-Independent Planning to High-Speed Manufacturing
Minh Do and Wheeler Ruml
- On the Compilation of Plan Constraints and Preferences
Stefan Edelkamp
- Reusing and Building a Policy Library
Fernando Fernández and Manuela Veloso
- Durative Planning in HTNs
Robert P. Goldman
- Robust Execution of Temporally Flexible Plans for Bipedal Walking Devices
Andreas Hofmann and Brian Williams
- Learning to Do HTN Planning
Okhtay Ilghami, Dana S. Nau, and Héctor Muńoz-Avila
- Learning Behaviors Models for Robot Execution Control
Guillaume Infantes, Félix Ingrand, and Malik Ghallab
- Planning for PDDL3 An OCSP Based Approach
Bharat Ranjan Kavuluri, Naresh Babu Saladi, and Deepak Khemani
- A New Principle for Incremental Heuristic Search: Theoretical Results
Sven Koenig and Maxim Likhachev
- Resource Contention Metrics for Oversubscribed Scheduling Problems
Laurence A. Kramer and Stephen F. Smith
- Probabilistic Planning with Nonlinear Utility Functions
Yaxin Liu and Sven Koenig
- Challenges for Temporal Planning with Uncertain Durations
Mausam and Daniel S. Weld
- Automated Planning Using Quantum Computation
S. Naguleswaran, L. B. White, and I. Fuss
- Knowledge-based Middleware as an Architecture for Planning and Scheduling Systems
Bernd Schattenberg, Steffen Balzer, and Susanne Biundo
- Combining Stochastic Task Models with Reinforcement Learning for Dynamic Scheduling
Malcolm J. A. Strens
- Spacetrack: Trading off Quality and Utilization in Oversubscribed Schedules
Andrew M. Sutton, Adele Howe, and L. Darrell Whitley
- On the Use of UML.P for Modeling a Real Application as a Planning Problem
Tiago Stegun Vaquero, Flavio Tonidandel, Leliane Nunes de Barros, and José Reinaldo Silva
- Reconfigurable Path Planning for an Autonomous Unmanned Aerial Vehicle
Mariusz Wzorek and Patrick Doherty
- Optimal STRIPS Planning by Maximum Satisfiability and Accumulative Learning
Zhao Xing, Yixin Chen, and Weixiong Zhang
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