M. Hanheide, C. Gretton, R. Dearden, N. Hawes, J. Wyatt, A. Pronobis, A. Aydemir, M. Göbelbecke, and H. Zender. Exploiting Probabilistic Knowledge under Uncertain Sensing for Efficient Robot Behaviour. IJCAI, 2011 (to appear).
[pdf] © AI Access Foundation
D. Skočaj, M. Kristan, A. Leonardis, M. Mahnič, A.Vrečko, M. Janíček, GJ. Kruijff, P. Lison, M. Zillich, C. Gretton, M. Hanheide, and M. Göbelbecke. A system approach to interactive learning of visual concepts. In Tenth International Conference on Epigenetic Robotics, 2010.
F. Werner, C. Gretton, F. Maire, and J. Sitte. Induction of Topological Environment Maps from Sequences of Visited Places. IEEE/RSJ 2008 International Conference on Intelligent RObots and Systems, 2008.
M. Göbelbecke, C. Gretton, and R. Dearden. A Switching Planner for Combined Task and Observation Planning. AAAI, 2011 (to appear).
[pdf (with minor corrections)] © AI Access Foundation
Shorter Version: IJCAI-11. Appearing in Proceedings of the IJCAI'11 workshop on Decision Making in Partially Observable, Uncertain Worlds: Exploring Insights from Multiple Communities, Barcelona, Spain, 2011.
[pdf] © the authors.
N. Robinson, C. Gretton, D. Pham, and A. Sattar. Partial Weighted MaxSAT for Optimal Planning. 11th Pacific Rim International Conference on Artificial Intelligence (PRICAI-2010), Daegu (Korea), August 2010.
[pdf] © Springer-Verlag (the original publication is available at www.springerlink.com)
N. Robinson, C. Gretton, D. Pham, and A. Sattar. Cost-Optimal Planning using Wighted MaxSAT. ICAPS-2010 Workshop on Constraint Satisfaction Techniques for Planning and Scheduling Problems, Toronto (Canada), May 2010.
[pdf] © the authors
N. Robinson, C. Gretton, D. Pham, and A. Sattar. SAT-Based Parallel Planning Using a Split Representation of Actions. International Conference on Automated Planning and Scheduling (ICAPS-09), Thessaloniki (Greece), September 2009.
[pdf] © AI Access Foundation
N. Robinson, C. Gretton, D. Pham, and A. Sattar. Propositional Probabilistic Planning-as-Satisfiability using Stochastic Local Search. ICAPS-08 Workshop on Planning under Uncertainty and Incomplete Information, Sydney (Australia), September 2008.
[pdf] © the authors
N. Robinson, C. Gretton, D. Pham, and A. Sattar. A Compact and Efficient SAT Encoding for Planning. International Conference on Automated Planning and Scheduling (ICAPS-08). 2008.
[pdf] © AI Access Foundation
C. Gretton. Gradient-Based Relational Reinforcement-Learning of Temporally Extended Policies. International Conference on Automated Planning and Scheduling (ICAPS-07). 2007.
[pdf] © AI Access Foundation
S. Thiébaux, C. Gretton, J. Slaney, D. Price, and F. Kabanza. Decision-Theoretic Planning with non-Markovian Rewards. Journal of Artificial Intelligence Research 25:17-74, January 2006.
[pdf] © AI Access Foundation
C. Gretton and S. Thiébaux. Exploiting First-Order Regression in Inductive Policy Selection. 20th Conference on Uncertainty in Artificial Intelligence (UAI-04) Morgan Kaufmann, Banf (Canada), July 2004.
Extended Abstract: ICML-04. Appearing in Proceedings of the ICML'04 workshop on Relational Reinforcement Learning, Banff, Canada, 2004.
[ps.gz,pdf][slides.ps.gz,slides-ps.gz] © the authors.
C. Gretton, D. Price and S. Thiébaux. Implementation and Comparison of Solution Methods for Decision Processes with Non-Markovian Rewards. 19th Conference on Uncertainty in Artificial Intelligence (UAI-03), Morgan Kaufmann, Acapulco (Mexico), August 2003.
Extended Version: ICAPS-03. Workshop on Planning under Uncertainty and Incomplete Information, Trento (Italy), June 2003.
D. Pham, J. Thornton, C. Gretton, and A. Sattar. Combining Adaptive and Dynamic Local Search for Satisfiability. Journal on Satisfiability, Boolean Model Checking, and Computation, 2008.
[pdf] © TU Delft
S.Richter, M.Helmert and C.Gretton. A Stochastic Local Search Approach to Vertex Cover. Proceedings of the 30th German Conference on Artificial Intelligence (KI-2007), 2007.
[pdf] © Springer-Verlag
D-N.Pham, J.Thornton, C.Gretton, and A.Sattar. Advances in Local Search for Satisfiability. Proceedings of the 20th Australian Joint Conference on Artificial Intelligence, 2007. Proceedings: Lecture Notes in Computer Science, 4830, pp. 213-222, Heidelberg: Springer.
[pdf] © Springer-Verlag
K. Taylor, C. Gretton. Ants caught in the Semantic Web: A study in the application of description logic to animal systematics. 16th International Conference on Scientific and Statistical Database Management, IEEE, Santorini Island Greece, 21-23 June 2004.
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