Hierarchical task network

Results: 33



#Item
21Maritime Threat Detection using Plan Recognition 1 2  Bryan Auslander1, Kalyan Moy Gupta1, & David W. Aha2

Maritime Threat Detection using Plan Recognition 1 2 Bryan Auslander1, Kalyan Moy Gupta1, & David W. Aha2

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Source URL: www.nrl.navy.mil

Language: English - Date: 2013-08-28 12:09:14
22Extending TALplanner with Concurrency and Resources Jonas Kvarnstr¨om and Patrick Doherty and Patrik Haslum1 Abstract. We present TALplanner, a forward-chaining planner based on the use of domain-dependent search contro

Extending TALplanner with Concurrency and Resources Jonas Kvarnstr¨om and Patrick Doherty and Patrik Haslum1 Abstract. We present TALplanner, a forward-chaining planner based on the use of domain-dependent search contro

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Source URL: www.ida.liu.se

Language: English - Date: 2011-05-25 06:13:20
23Optimization in the Now: Dynamic Peephole Optimization for Hierarchical Planning Dylan Hadfield-Menell, Leslie Pack Kaelbling and Tom´as Lozano-P´erez∗ Abstract— For robots to effectively interact with the real wor

Optimization in the Now: Dynamic Peephole Optimization for Hierarchical Planning Dylan Hadfield-Menell, Leslie Pack Kaelbling and Tom´as Lozano-P´erez∗ Abstract— For robots to effectively interact with the real wor

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Source URL: lis.csail.mit.edu

Language: English - Date: 2013-02-23 14:42:30
24Learning Approximate Preconditions for Methods in Hierarchical Plans  Okhtay Ilghami [removed] Department of Computer Science, University of Maryland, College Park, MD[removed], USA H´

Learning Approximate Preconditions for Methods in Hierarchical Plans Okhtay Ilghami [removed] Department of Computer Science, University of Maryland, College Park, MD[removed], USA H´

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Source URL: www.machinelearning.org

Language: English - Date: 2008-12-01 11:15:30
25Learning Approximate Preconditions for Methods in Hierarchical Plans  Okhtay Ilghami [removed] Department of Computer Science, University of Maryland, College Park, MD[removed], USA H´

Learning Approximate Preconditions for Methods in Hierarchical Plans Okhtay Ilghami [removed] Department of Computer Science, University of Maryland, College Park, MD[removed], USA H´

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Source URL: www.machinelearning.org

Language: English - Date: 2008-12-01 11:15:55
26Chapter 7  Planning with applications to quests and story (DRAFT) Yun-Gyung Cheong, Mark O. Riedl, Byung-Chull Bae, Mark J. Nelson

Chapter 7 Planning with applications to quests and story (DRAFT) Yun-Gyung Cheong, Mark O. Riedl, Byung-Chull Bae, Mark J. Nelson

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Source URL: pcgbook.com

Language: English - Date: 2014-05-07 07:45:00
27Dissertation  Course Generation as a Hierarchical Task Network Planning Problem Carsten Ullrich Saarbr¨

Dissertation Course Generation as a Hierarchical Task Network Planning Problem Carsten Ullrich Saarbr¨

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Source URL: www.carstenullrich.net

Language: English - Date: 2011-10-22 00:13:25
28Angelic Semantics for High-Level Actions  Bhaskara Marthi Stuart J. Russell Jason Wolfe

Angelic Semantics for High-Level Actions Bhaskara Marthi Stuart J. Russell Jason Wolfe

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Source URL: www.cs.berkeley.edu

Language: English - Date: 2007-07-10 13:40:45
29Angelic Semantics for High-Level Actions Bhaskara Marthi Stuart Russell  Jason Wolfe ∗

Angelic Semantics for High-Level Actions Bhaskara Marthi Stuart Russell Jason Wolfe ∗

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Source URL: www.cs.berkeley.edu

Language: English - Date: 2007-07-10 14:04:48
30Neptune: A Mixed-Initiative Environment for Planning and Scheduling Pauline M. Berry1, Blazej Bulka2, Bart Peintner1, Mark Roberts3, and Neil Yorke-Smith1 1 2

Neptune: A Mixed-Initiative Environment for Planning and Scheduling Pauline M. Berry1, Blazej Bulka2, Bart Peintner1, Mark Roberts3, and Neil Yorke-Smith1 1 2

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Source URL: www.ai.sri.com

Language: English - Date: 2009-01-26 18:28:06