ICS-270A, Intorduction to Artificial Intelligence, Winter 2003 |
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Project in AI Planning |
The following are relevant links to recent papers in planning.
Additional selected recent papers:Consult:
|
107 | Structure and Complexity in Planning with Unary Operators | Domshlak Carmel,Department
of Computer Science Ronen Brafman; Ben-Gurion University of the Negev |
112 | On Control Knowledge Acquisition by Exploiting Human-Computer Interaction | Aler, Ricardo,
Universidad Carlos III de Madrid Daniel Borrajo, Universidad Carlos III de Madrid, |
114 | Symbolic Pattern Databases in Heuristic Search Planning | Edelkamp, Stefan,Computer Science Institut; |
115 | The FAR-OFF system: A Heuristic Search Case-Based Planning | Tonidandel, Flavio,University
of Sao Paulo Marcio Rillo ; University of Sao Paulo |
118 | Plan Representation for Robotic Agents | Beetz, Michael, K,Department of Computer Science IX |
124 | Local Search Topology in Planning Benchmarks: A Theoretical Analysis | Hoffmann, Joerg,University Freiburg; |
130 | Extending the Exploitation of Symmetries in Planning | Fox, Maria,University
of Durham, UK Derek Long ; University of Durham |
131 | Filtering Algorithms for Batch Processing with Sequence Dependent Setup Times | Vilim, Petr,Charles
University; Bartak, Roman ; Charles University; |
134 | Execution Monitoring with Quantitative Temporal Dynamic Bayesian Networks | Colbry, Dirk,
J,University of Michigan Bart Peintner; University of Michigan Martha E. Pollack,University of Michigan |
135 | Applying Domain Analysis Techniques for Domain-Dependent Control in TALplanner | Kvarnström, Jonas,Linköping University, Sweden |
137 | Universal Quantification in a Constraint-Based Planner | Golden, Keith,NASA
Ames Research Center Jeremy Frank; NASA Ames Research Center |
138 | A Plan-Based Personalized Cognitive Orthotic | McCarthy, Colleen
E,University of Pittsburgh Martha Pollack; University of Michigan |
139 | Decidability and Undecidability Results for Planning with Numerical State Variables | Helmert, Malte,Albert-Ludwigs-Universitaet Freiburg; |
143 | An Interactive Method for Inducing Operator Descriptions | McCluskey, T,
L,School of Computing and Mathematics; Richardson,N,E ; The University of Huddersfield Simpson,R,M ; The University of Huddersfield |
146 | Active Coordination of Distributed Human Planners | Myers, Karen,
L.,Artificial Intelligence Center Peter A. Jarvis, SRI International Thomas J. Lee, SRI International, |
149 | CaMeL: Learning Methods for HTN Planning | Okhtay Ilghami,University
of Maryland Dana Nau ; University of Maryland Hector Munoz-Avila ; Lehigh University David Aha ; Naval Research Laboratory |
152 | On the Role of Ground Actions in Refinement Planning | Younes, Hakan,
L,Carnegie Mellon University Reid Simmons; Carnegie Mellon University |
153 | Estimated-Regression Planning for Interactions with Web Services | McDermott, Drew V.,Yale University; |
155 | Faster Probabilistic Planning Through More Efficient Stochastic Satisfiability Problem Encodings | Majercik, Stephen
M.,Bowdoin College Andrew P. Rusczek ; Bowdoin College |
157 | Speculative Execution for Information Gathering Plans | Barish, Greg,University
of Southern California / Information Sciences Institute Craig A. Knoblock; University of Southern California / Information Sciences Institute |
164 | Fragment-based Conformant Planning | Kurien, James
A,Xerox Palo Alto Research Center P. Pandurang Nayak; Stratify, Inc. David E. Smith; NASA Ames Research Center |
166 | Improving Heuristics for Planning as Search in Belief Space | Bertoli, Piergiorgio,IRST
- Istituto per la Ricerca Scientifica e Tecnologica Alessandro Cimatti; IRST |
169 | LPG: A Planner Based on Local Search for Planning Graphs with Action Costs | Gerevini, Alfonso,Università
di Brescia, Dipartimento di Elettronica per l'Automazione Ivan Serina; DEA, Università di Brescia |
170 | On the Identification and Use of Hierarchical Resources in Planning and Scheduling | Bernd Schattenberg,Dept.
of Artificial Intelligence Susanne Biundo; Dept. of Artificial Intelligence, University of Ulm |
172 | Constraint model-based planning and scheduling with multiple resources and complex collaboration schema | Jean-Clair Poncet,Axlog
Ingénierie Guettier Christophe ; Xerox Palo Alto Research Center Bertand Allo ; Axlog Ingénierie Vincent Legendre ; Axlog Ingénierie Nelly Strady-Lécubin ; Axlog Ingénierire |
175 | Partially Observable Planning as Backward Search with BDDs | Rintanen, Jussi, T,Albert-Ludwigs-Universität Freiburg |
181 | Analyzing Plans with Conditional Effects | Winner, Elly,Computer
Science Department Manuela Veloso; Computer Science Department, Carnegie Mellon University |
183 | Planning for Distributed Execution Through Use of | Riley, Patrick
F.,Computer Science Department Manuela Veloso ; Carnegie Mellon University |
186 | The Logic of Reachability | Smith, David E.,NASA
Ames Research Center; Ari Jonsson ; RIACS |
187 | Heuristic Search-Based Replanning | Koenig, Sven,College
of Computing, Georgia Institute of Technology David Furcy; Georgia Institute of Technology Colin Bauer; Georgia Institute of Technology |
188 | A Knowledge-Based Approach to Planning with Incomplete Information and Sensing | Bacchus, Fahiem,University
of Toronto Ronald Petrick ; University of Toronto |
190 | Planning Graph-based Heuristics for Cost-sensitive Temporal Planning | Do, Minh B.,Arizona
State University, The United States Subbarao Kambhampati; Arizona State University |