Charles Gretton, FIEAust

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Duc Nghia PhamMIMOS BerhadVerified email at griffith.edu.au
Richard DeardenReader in Intelligent Robotics, University of BirminghamVerified email at cs.bham.ac.uk
Sylvie ThiebauxThe Australian National UniversityVerified email at anu.edu.au
Abdul SattarProfessor of Computer Science, Griffith UniversityVerified email at griffith.edu.au
Marc HanheideProfessor of Intelligent Robotics and Interactive Systems, University of LincolnVerified email at hanheide.net
Michael NorrishAustralian National UniversityVerified email at anu.edu.au
Mohammad AbdulazizKing's College LondonVerified email at in.tum.de
Alper AydemirNASA JPL, Computer Vision GroupVerified email at jpl.nasa.gov
Andrzej PronobisResearch Associate at University of Washington, SeattleVerified email at cs.washington.edu
Nick HawesOxford Robotics Institute, University of OxfordVerified email at robots.ox.ac.uk
Jeremy L WyattDirector, Applied Science, AmazonVerified email at amazon.com
Miroslav JaníčekResearcher at DFKI GmbHVerified email at dfki.de
Geert-Jan KruijffAmazon MusicVerified email at amazon.com
John SlaneyProfessor of Computer Science, Australian National UniversityVerified email at anu.edu.au
Froduald KabanzaDepartment of Computer Science, University of SherbrookeVerified email at usherbrooke.ca
Patric JensfeltKTH Royal Institute of TechnologyVerified email at kth.se
Graham S. HornVerified email at grahamhorn.com
John ThorntonGriffith University and University of SussexVerified email at griffith.edu.au
Philip KilbyCSIRO Data61Verified email at csiro.au
Malte HelmertProfessor of Computer Science, University of BaselVerified email at unibas.ch

Charles Gretton, FIEAust

The Australian National University

Verified email at anu.edu.au - Homepage

Automated Planning and Artificial Intelligence and Machine Learning


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Robot task planning and explanation in open and uncertain worlds M Hanheide, M Göbelbecker, GS Horn, A Pronobis, K Sjöö, A Aydemir, ... Artificial Intelligence 247, 119-150, 2017	175	2017
A stochastic local search approach to vertex cover S Richter, M Helmert, C Gretton annual conference on artificial intelligence, 412-426, 2007	108	2007
Decision-theoretic planning with non-Markovian rewards S Thiébaux, C Gretton, J Slaney, D Price, F Kabanza Journal of Artificial Intelligence Research 25, 17-74, 2006	103	2006
Exploiting first-order regression in inductive policy selection C Gretton, S Thiébaux arXiv preprint arXiv:1207.4107, 2012	82	2012
Exploiting probabilistic knowledge under uncertain sensing for efficient robot behaviour M Hanheide, C Gretton, RW Dearden, NA Hawes, JL Wyatt, A Pronobis, ... Twenty-Second International Joint Conference on Artificial Intelligence, 2011	80	2011
SAT-based parallel planning using a split representation of actions N Robinson, C Gretton, DN Pham, A Sattar Proceedings of the international conference on automated planning and …, 2009	62	2009
A switching planner for combined task and observation planning M Göbelbecker, C Gretton, R Dearden Proceedings of the AAAI Conference on Artificial Intelligence 25 (1), 964-970, 2011	49	2011
Combining adaptive and dynamic local search for satisfiability D Nghia Pham, J Thornton, C Gretton, A Sattar Journal on Satisfiability, Boolean Modeling and Computation 4 (2-4), 149-172, 2008	40	2008
Partial weighted MaxSAT for optimal planning N Robinson, C Gretton, DN Pham, A Sattar PRICAI 2010: Trends in Artificial Intelligence: 11th Pacific Rim …, 2010	36	2010
A Compact and Efficient SAT Encoding for Planning. N Robinson, C Gretton, DN Pham, A Sattar ICAPS, 296-303, 2008	35	2008
Advances in local search for satisfiability DN Pham, J Thornton, C Gretton, A Sattar AI 2007: Advances in Artificial Intelligence: 20th Australian Joint …, 2007	27	2007
gnovelty+(v. 2) DN Pham, C Gretton Solver description. SAT Competition, 2009	25	2009
A study of proxies for shapley allocations of transport costs H Aziz, C Cahan, C Gretton, P Kilby, N Mattei, T Walsh Journal of Artificial Intelligence Research 56, 573-611, 2016	24	2016
A simulation-optimisation genetic algorithm approach to product allocation in vending machine systems H Grzybowska, B Kerferd, C Gretton, ST Waller Expert Systems with Applications 145, 113110, 2020	19	2020
Computing Upper Bounds on Lengths of Transition Sequences J Rintanen, CO Gretton International Joing Conference on Artificial Intelligence, 2013	18	2013
A state-space acyclicity property for exponentially tighter plan length bounds M Abdulaziz, C Gretton, M Norrish Proceedings of the International Conference on Automated Planning and …, 2017	16	2017
Gradient-Based Relational Reinforcement Learning of Temporally Extended Policies. C Gretton ICAPS, 168-175, 2007	16	2007
Formally verified algorithms for upper-bounding state space diameters M Abdulaziz, M Norrish, C Gretton Journal of Automated Reasoning 61, 485-520, 2018	15	2018
GNovelty+ DN Pham, C Gretton Solver description, SAT competition 2007, 2007	13	2007
Implementation and comparison of solution methods for decision processes with non-Markovian rewards C Gretton, D Price, S Thiébaux arXiv preprint arXiv:1212.2482, 2012	12	2012

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