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The First Probabilistic Track of the International Planning Competition

H.L.S. Younes, M. L. Littman, D. Weissman, J. Asmuth
2005 The Journal of Artificial Intelligence Research  
The 2004 International Planning Competition, IPC-4, included a probabilistic planning track for the first time.  ...  We describe the new domain specification language we created for the track, our evaluation methodology, the competition domains we developed, and the results of the participating teams.  ...  , Bob Givan, Hector Geffner and other participants who contributed to the design of the competition.  ... 
doi:10.1613/jair.1880 fatcat:q4uc4glzqngdtpwxfl2slmdcp4

A Survey of the Seventh International Planning Competition

Amanda Coles, Andrew Coles, Angel García Olaya, Sergio Jiménez, Carlos Linares López, Scott Sanner, Sungwook Yoon
2012 The AI Magazine  
In this article we review the 2011 International Planning Competition. We give an overview of the history of the competition, discussing how it has developed since its first edition in 1998.  ...  The competition attracted a record number of participants this year, showing its continued and strong position as a major central pillar of the international planning research community.  ...  The results of each edition of the competition are presented in a special session of the International Conference on Automated Planning and Scheduling, ICAPS 1 .  ... 
doi:10.1609/aimag.v33i1.2392 fatcat:jstmrnertfeotj5a7gf3ld5r34

The Fourteenth International Conference on Automated Planning and Scheduling (ICAPS-04)

Shlomo Zilberstein, Jana Koehler, Sven Koenig
2004 The AI Magazine  
This was the first stracts from the doctoral consortium and a newly formed probabilistic track. time that ICAPS was held in Canada.  ...  For the first with the Ninth International Confer- cal implementations in a variety of time, the papers of the main confer- ence on Principles of Knowledge Repre-  ... 
doi:10.1609/aimag.v25i4.1789 dblp:journals/aim/ZilbersteinKK04 fatcat:yokeumibkvatfa5atawryhe6di

The 2014 International Planning Competition: Progress and Trends

Mauro Vallati, Lukas Chrpa, Marek Grześ, Thomas Leo McCluskey, Mark Roberts, Scott Sanner, Managing Editor
2015 The AI Magazine  
We review the 2014 International Planning Competition (IPC-2014), the eighth in a series of competitions starting in 1998.  ...  IPC-2014 was held in three separate parts to assess state-of-the-art in three prominent areas of planning research: the deterministic (classical) part (IPCD), the learning part (IPCL), and the probabilistic  ...  Acknowledgements The organizers of IPCD-2014 would like to acknowledge the use of the University of Huddersfield Queensgate Grid in carrying out this work as well as Ibad Kureshi and John Brennan for their  ... 
doi:10.1609/aimag.v36i3.2571 fatcat:blon2cpw3net5fyex5qnp3p7wm

Engineering a Conformant Probabilistic Planner

N. Onder, G. C. Whelan, L. Li
2006 The Journal of Artificial Intelligence Research  
We present a partial-order, conformant, probabilistic planner, Probapop which competed in the blind track of the Probabilistic Planning Competition in IPC-4.  ...  We explain the successes and difficulties encountered during the design and implementation of Probapop.  ...  We thank JAIR IPC-4 special track editor David E. Smith, and the anonymous reviewers for their very helpful comments.  ... 
doi:10.1613/jair.1701 fatcat:wvrn55jg4zdl3ax7hlt5r2vtu4

Unifying Nondeterministic and Probabilistic Planning Through Imprecise Markov Decision Processes [chapter]

Felipe W. Trevizan, Fábio G. Cozman, Leliane N. de Barros
2006 Lecture Notes in Computer Science  
These two strands of AI planning have followed different strategies: while nondeterministic planning usually looks for min-max (or worst-case) policies, probabilistic planning attempts to maximize expected  ...  This paper proposes an unifying formulation for nondeterministic and probabilistic planning.  ...  The 4th International Planning Competition (IPC-4), happen in 2004, included a track on probabilistic planning for the first time.  ... 
doi:10.1007/11874850_54 fatcat:d2bgo3djyzcuzip6hntbauptuq

The Fifth International Conference on Artificial Intelligence Planning and Scheduling

Anthony Barrett, Steve A. Chien
2000 The AI Magazine  
The format of the conference included paper presentations, invited speakers, panel discussions, workshops, and a planning competition.  ...  The Fifth International Conference on Artificial Intelligence Planning and Scheduling (AIPS2000) was held on 14-17 April 2000 at Breckenridge, Colorado; 1 it was colocated with the Seventh International  ...  Competition In addition to presentations, AIPS2000 featured a planning competition designed to evaluate the current state of the art in planning-scheduling.  ... 
doi:10.1609/aimag.v21i4.1536 dblp:journals/aim/BarrettC00 fatcat:dcem45xczbaa7hh6einxd3x22q

State agnostic planning graphs: deterministic, non-deterministic, and probabilistic planning

Daniel Bryce, William Cushing, Subbarao Kambhampati
2011 Artificial Intelligence  
Our experimental evaluation (using many existing International Planning Competition problems from classical and non-deterministic conformant tracks) quantifies each of these performance boosts, and demonstrates  ...  For the purpose of exposition, we first present the technique in deterministic (classical) planning to capture a set of planning graphs used in forward chaining search.  ...  We thank David Smith for his contributions to the foundations of our work, in addition, we thank the members of Yochan for many helpful suggestions.  ... 
doi:10.1016/j.artint.2010.12.002 fatcat:id3zqy6wxzdpvlaajoc2lum6xe

The first learning track of the international planning competition

Alan Fern, Roni Khardon, Prasad Tadepalli
2011 Machine Learning  
The International Planning Competition is a biennial event organized in the context of the International Conference on Automated Planning and Scheduling.  ...  The 2008 competition included, for the first time, a learning track for comparing approaches for improving automated planners via learning.  ...  Acknowledgements We thank Nathan Blackwell for his work in carrying out the evaluations and also Malte Helmert for conducting the evaluations of the non-learning track planners on the learning track problems  ... 
doi:10.1007/s10994-011-5234-y fatcat:2arjx2ffqvh3bbqerk7fxfvzli

Integration of Path/Maneuver Planning in Complex Environments for Agile Maneuvering UCAVs

Emre Koyuncu, N. Kemal Ure, Gokhan Inalhan
2009 Journal of Intelligent and Robotic Systems  
Phone: +902122856678(Lab. office) GSM: +905333417785 E-Mail: emre.koyuncu@itu.edu.tr Research interests Developing computationally efficient/optimal autonomous planning algorithms especially for vehicles  ...  have complex dynamics (agile aerial vehicles, robots etc.) flying/moving in the complex environments, real-time robotics implementations (developing hardware/software) for autonomous motion/flying, cooperated  ...  This platform is planned to lunch in first quarter of 2011. • ITUCAL Robotic Hardware Testbed for Implementing Real-time Planning Strategies, It was developed in ITU Controls and Avionics Lab. in 2008  ... 
doi:10.1007/s10846-009-9367-1 fatcat:bwzpm2eh55dk7m2yrqvevq5ucu

mGPT: A Probabilistic Planner Based on Heuristic Search

B. Bonet, H. Geffner
2005 The Journal of Artificial Intelligence Research  
We describe the version of the GPT planner used in the probabilistic track of the 4th International Planning Competition (IPC-4).  ...  The lower bounds are extracted from deterministic relaxations where the alternative probabilistic effects of an action are mapped into different, independent, deterministic actions.  ...  The Competition The competition suite consisted of 7 probabilistic domains named blocksworld, explodingblocksworld, boxworld, fileworld, tireworld, towers-of-hanoise, and zeno.  ... 
doi:10.1613/jair.1688 fatcat:amzieprqezgrlblyqdkindwmtq

Integration of Path/Maneuver Planning in Complex Environments for Agile Maneuvering UCAVs [chapter]

Emre Koyuncu, N. Kemal Ure, Gokhan Inalhan
2009 Selected papers from the 2nd International Symposium on UAVs, Reno, Nevada, U.S.A. June 8–10, 2009  
Phone: +902122856678(Lab. office) GSM: +905333417785 E-Mail: emre.koyuncu@itu.edu.tr Research interests Developing computationally efficient/optimal autonomous planning algorithms especially for vehicles  ...  have complex dynamics (agile aerial vehicles, robots etc.) flying/moving in the complex environments, real-time robotics implementations (developing hardware/software) for autonomous motion/flying, cooperated  ...  This platform is planned to lunch in first quarter of 2011. • ITUCAL Robotic Hardware Testbed for Implementing Real-time Planning Strategies, It was developed in ITU Controls and Avionics Lab. in 2008  ... 
doi:10.1007/978-90-481-8764-5_8 fatcat:6sqp2bswo5eytfdkkmqvwj4ucu

Global Energy Forecasting Competition 2012

Tao Hong, Pierre Pinson, Shu Fan
2014 International Journal of Forecasting  
This paper introduces both tracks of GEFCom2012, hierarchical load forecasting and wind power forecasting, with details on the aspects of the problem, the data, and a summary of the methods used by selected  ...  The Global Energy Forecasting Competition (GEFCom2012) attracted hundreds of participants worldwide, who contributed many novel ideas to the energy forecasting field.  ...  Acknowledgments The authors gratefully acknowledge the following organizations, which contributed to the success of GEF  ... 
doi:10.1016/j.ijforecast.2013.07.001 fatcat:5l3rhe2cebc3pgh32pkoqee5fq

The Diagnostic Competitions

Alexander Feldman, Johan De Kleer, Tolga Kurtoglu, Sriram Narasimhan, Scott Poll, David Garcia, Lukas Kuhn, Arjan J. C. Van Gemund
2014 The AI Magazine  
The diagnostic competition (DX) provides a set of diagnostic benchmarks to evaluate diagnostic algorithms. This paper describes a common diagnostic framework used to evaluate diagnostic algorithms.  ...  This competition, started in 2009, has significantly helped shape diagnostic algorithms.  ...  History The International Diagnostic Competition (DXC) is part of the International Workshop on Principles Diagnosis (DX).  ... 
doi:10.1609/aimag.v35i2.2532 fatcat:6ezkx6v2e5ftdjejdpvctwzkoa

Energy Forecasting: A Review and Outlook

Tao Hong, Pierre Pinson, Yi Wang, Rafal Weron, Dazhi Yang, Hamidreza Zareipour
2020 IEEE Open Access Journal of Power and Energy  
Forecasting has been an essential part of the power and energy industry.  ...  recommendations about publishing high-quality research papers; and offers an outlook into the future of energy forecasting.  ...  ACKNOWLEDGMENT The authors appreciate the constructive comments made by the review panel.  ... 
doi:10.1109/oajpe.2020.3029979 fatcat:qqztqtw5jbdwhknpre5hnd7ami
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