Charles Gretton
TitleCited byYear
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
852017
A stochastic local search approach to vertex cover
S Richter, M Helmert, C Gretton
Annual Conference on Artificial Intelligence, 412-426, 2007
782007
Exploiting first-order regression in inductive policy selection
C Gretton, S Thiébaux
Proceedings of the 20th conference on Uncertainty in artificial intelligence …, 2004
772004
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
662011
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
622006
A switching planner for combined task and observation planning
M Göbelbecker, C Gretton, R Dearden
Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011
402011
SAT-based parallel planning using a split representation of actions
N Robinson, C Gretton, DN Pham, A Sattar
Nineteenth International Conference on Automated Planning and Scheduling, 2009
402009
Combining adaptive and dynamic local search for satisfiability
DN Pham, J Thornton, C Gretton, A Sattar
Journal on Satisfiability, Boolean Modeling and Computation 4, 149-172, 2008
362008
A Compact and Efficient SAT Encoding for Planning.
N Robinson, C Gretton, DN Pham, A Sattar
ICAPS, 296-303, 2008
272008
Advances in local search for satisfiability
DN Pham, J Thornton, C Gretton, A Sattar
Australasian Joint Conference on Artificial Intelligence, 213-222, 2007
252007
Partial weighted MaxSAT for optimal planning
N Robinson, C Gretton, DN Pham, A Sattar
Pacific rim international conference on artificial intelligence, 231-243, 2010
242010
gnovelty+(v. 2)
DN Pham, C Gretton
Solver description. SAT Competition, 2009
242009
Gradient-Based Relational Reinforcement Learning of Temporally Extended Policies.
C Gretton
ICAPS, 168-175, 2007
152007
Implementation and comparison of solution methods for decision processes with non-Markovian rewards
C Gretton, D Price, S Thiébaux
Proceedings of the Nineteenth conference on Uncertainty in Artificial …, 2002
142002
Computing Upper Bounds on Lengths of Transition Sequences
J Rintanen, CO Gretton
International Joing Conference on Artificial Intelligence, 2013
132013
GNovelty+
DN Pham, C Gretton
132007
Co-plan: Combining SAT-based planning with forward-search
N Robinson, C Gretton, DN Pham
Proc. IPC-6, 2008
112008
AI 2007: Advances in Artificial Intelligence
MA Orgun, J Thornton
Springer-Verlag Berlin Heidelberg, 2007
11*2007
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
102016
A State-Space Acyclicity Property for Exponentially Tighter Plan Length Bounds
M Abdulaziz, C Gretton, M Norrish
Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017
82017
The system can't perform the operation now. Try again later.
Articles 1–20