Dates
- March 17, 2017 - Submissions Due
- April 7, 2017 - Notification
- TBD - Camera-ready Due
- June 20, 2017 - Workshop Date
Workshops
Heuristics and Search for Domain-independent Planning (HSDIP)
An ICAPS'17 Workshop
Pittsburgh, USA
20 June 2017
Heuristics and search algorithms are the two key components of heuristic search, one of the main approaches to many variations of domain-independent planning, including classical planning, temporal planning, planning under uncertainty and adversarial planning. This workshop seeks to understand the underlying principles of current heuristics and search methods, their limitations, ways for overcoming those limitations, as well as the synergy between heuristics and search. HSDIP-17 will be a part of the ICAPS 2017 conference.
For questions please contact the HSDIP Chairs
Topics and Objectives
State-space search guided by heuristics, automatically derived from the problem representation, has been one of the most popular, and arguably one of the most successful, approaches to domain-independent planning in the last decade. While there has been significant developments in the design of planning heuristics, such that there are now many different kinds of heuristics, and some theories of how they relate to each other have begun to emerge, there is also a growing realization that the search algorithm plays an equally important role in the approach. Recent work has highlighted some of the weaknesses in well-known search algorithms, but also opportunities to exploit synergies between the heuristic calculation and the search control to improve both, while relying on domain-independent, declarative descriptions of the state space.State-space search guided by heuristics, automatically derived from the problem representation, has been one of the most popular, and arguably one of the most successful, approaches to domain-independent planning in the last decade. While there has been significant developments in the design of planning heuristics, such that there are now many different kinds of heuristics, and some theories of how they relate to each other have begun to emerge, there is also a growing realization that the search algorithm plays an equally important role in the approach. Recent work has highlighted some of the weaknesses in well-known search algorithms, but also opportunities to exploit synergies between the heuristic calculation and the search control to improve both, while relying on domain-independent, declarative descriptions of the state space.
The workshop on Heuristics and Search for Domain-Independent Planning (HSDIP) is the ninth workshop in a series that started with the "Heuristics for Domain-Independent Planning" (HDIP) workshops at ICAPS 2007. At ICAPS 2012, the workshop was changed to its current name and scope to explicitly encourage work on search for domain-independent planning. The workshop on Heuristics and Search for Domain-Independent Planning (HSDIP) is the ninth workshop in a series that started with the "Heuristics for Domain-Independent Planning" (HDIP) workshops at ICAPS 2007. At ICAPS 2012, the workshop was changed to its current name and scope to explicitly encourage work on search for domain-independent planning.
Examples of typical topics for submissions to this workshop are:
- Automatic derivation of heuristic estimators for domain-independent planning
- Search techniques for domain-independent planning
- Synergy between heuristics and search in domain-independent planning
- Challenging domains for heuristic search planning
Submissions
Please format submissions in AAAI style (see instructions in the Author
Kit at http://www.aaai.org/
Submissions should be made through EasyChair:
http://www.easychair.org/
Every submission will be reviewed by two members of the organizing committee according to the usual criteria such as relevance to the workshop, significance of the contribution, and technical quality. The review process will be single-blind: the authors' identity will be known to the reviewers, but not vice versa.
Submissions sent to other conferences are allowed if this do not interfere with their submission rules. Submissions under double-blind review in another conference must be anonymous. In particular, submissions of papers under revision in IJCAI17 must be anonymous
The workshop is meant to be an open and inclusive forum, and we encourage papers that report on work in progress or that do not fit the mold of a typical conference paper.
At least one author of each accepted paper must attend the workshop in order to present the paper. Authors must register for the ICAPS main conference in order to attend the workshop. There will be no separate workshop-only registration.
In order to encourage the submission of original papers to the workshops, the ICAPS council has announced an initiative to fast-track strong workshop papers from one year to the main track of the next ICAPS. Up to two papers will be recommended by the HSDIP organizers. The ICAPS 2018 program chairs will have a look at these papers and the workshop reviews and invite the authors of these papers to resubmit them to the ICAPS 2018 main track.
Important Dates
- Paper submission deadline: March 17, 2017 (UTC-12 timezone)
- Notification of acceptance: April 7, 2017
- Camera-ready paper submissions: May 22, 2017
- Workshop date: June 20, 2017
Organizing Committee
- J. Benton NASA Ames Research Center & AAMU-RISE, USA
- Nir Lipovetzky University of Melbourne, Australia
- Florian Pommerening University of Basel, Switzerland
- Miquel Ramırez University of Melbourne, Australia
- Enrico Scala ANU, Australia
- Jendrik Seipp University of Basel, Switzerland
- Álvaro Torralba Saarland University, Germany
Schedule
June 20: 9:00-17:00
9:00 | Welcome: Opening Remarks |
9:05-9:40 | Invited Talk: Declarative Heuristics
|
9:50 | On the Relationship Between State-Dependent Action Costs and Conditional Effects in Planning |
10:10 | Cost-Length Tradeoff Heuristics for Bounded-Cost Search |
10:30 | Coffee Break |
11:00 | Tie-Breaking in A* as Satisficing Search |
11:20 | A Graph-Partitioning Based Approach for Parallel Best-First Search |
11:40 | Forward Search with Backward Analysis |
12:00 | Exploiting Variance Information in Monte-Carlo Tree Search |
12:30-14:00 | Lunch |
14:00 | Beyond Forks: Finding and Ranking Star Factorings for Decoupled Search |
14:20 | Structural Symmetries of the Lifted Representation of Classical Planning Tasks |
14:40 | Strengthening Canonical Pattern Databases with Structural Symmetries |
15:00 | From Qualitative to Quantitative Dominance Pruning for Optimal Planning |
15:30-16:00 | Coffee Break |
16:00 | Optimal Solutions to Large Logistics Planning Domain Problems |
16:20 | Equi-Reward Utility Maximizing Design in Stochastic Environments |
Proceedings
Individual papers are available via the links below. The full workshop proceedings contain all papers in one PDF.Accepted Papers
Daniel Gnad, Valerie Poser and Joerg HoffmannBeyond Forks: Finding and Ranking Star Factorings for Decoupled Search (PDF)
Robert Mattmüller, Florian Geißer, Benedict Wright and Bernhard Nebel
On the Relationship Between State-Dependent Action Costs and Conditional Effects in Planning (PDF)
Sarah Keren, Luis Pineda, Avigdor Gal, Erez Karpas and Shlomo Zilberstein
Equi-Reward Utility Maximizing Design in Stochastic Environments (PDF)
Robert Lieck, Vien Ngo and Marc Toussaint
Exploiting Variance Information in Monte-Carlo Tree Search (PDF)
Yuu Jinnai and Alex Fukunaga
A Graph-Partitioning Based Approach for Parallel Best-First Search (PDF)
Shlomi Maliah, Ronen Brafman and Guy Shani
Forward Search with Backward Analysis (PDF)
Masataro Asai and Alex Fukunaga
Tie-Breaking in A* as Satisficing Search (PDF)
Sean Dobson and Patrik Haslum
Cost-Length Tradeoff Heuristics for Bounded-Cost Search (PDF)
Silvan Sievers, Gabriele Röger, Martin Wehrle and Michael Katz
Structural Symmetries of the Lifted Representation of Classical Planning Tasks (PDF)
Silvan Sievers, Martin Wehrle and Michael Katz
Strengthening Canonical Pattern Databases with Structural Symmetries (PDF)
Álvaro Torralba.
From Qualitative to Quantitative Dominance Pruning for Optimal Planning (PDF)
Gerald Paul, Gabriele Röger, Thomas Keller and Malte Helmert
Optimal Solutions to Large Logistics Planning Domain Problems (PDF)