Publications

Kochenderfer, M. J., Espindle, L. P., Kuchar, J. K., and Griffith, J. D. (2008). A Bayesian approach to aircraft encounter modeling. In AIAA Guidance, Navigation, and Control Conference, Honolulu, Hawaii.

Kochenderfer, M. J., Griffith, J. D., and Kuchar, J. K. (2008). Hazard alerting using line-of-sight rate. In AIAA Guidance, Navigation, and Control Conference, Honolulu, Hawaii.

Griffith, J. D., Kochenderfer, M. J., and Kuchar, J. K. (2008). Electro-optical system analysis for sense and avoid. In AIAA Guidance, Navigation, and Control Conference, Honolulu, Hawaii.

Kochenderfer, M. J., Espindle, L. P., Griffith, J. D., and Kuchar, J. K. (2008). Encounter modeling for sense and avoid development. In Eighth Integrated Communications, Navigation and Surveillance Conference, Bethesda, Maryland.

Kochenderfer, M. J., Espindle, L. P., Kuchar, J. K., and Griffith, J. D. (2008). A comprehensive aircraft encounter model of the national airspace system. Lincoln Laboratory Journal, Volume 18, Number 1.

Kochenderfer, M. J., Kuchar, J. K., Espindle, L. P., Gertz, J. L. (2008). Preliminary Uncorrelated Encounter Model of the National Airspace System. MIT Lincoln Laboratory, Project Report CASSATT-1.

Gupta, R. and Kochenderfer, M. J. (2007). Systems and methods for using statistical techniques to reason with noisy data. United States Patent 7299110 issued November 20, 2007. Assigned to Honda Motor Co., Ltd.

Kochenderfer, M. J. (2006). Adaptive Modelling and Planning for Learning Intelligent Behaviour. Ph.D. thesis. School of Informatics, University of Edinburgh. [pdf]

Kochenderfer, M. J. (2006). Adaptive Abstraction for Model-Based Reinforcement Learning. Technical Report EDI-INF-RR-0806, School of Informatics, University of Edinburgh. [pdf]

Kochenderfer, M. J. and Hayes, G. (2005). Adaptive Partitioning of State Spaces using Decision Graphs for Real-Time Modeling and Planning. In Workshop on Planning and Learning in A Priori Unknown or Dynamic Domains, Nineteenth International Joint Conference on Artificial Intelligence (IJCAI-05), Edinburgh, Scotland.

Kochenderfer, M. J. and Hayes, G. (2005). Modeling and Planning in Large State and Action Spaces. In Workshop on Planning and Learning in A Priori Unknown or Dynamic Domains, Nineteenth International Joint Conference on Artificial Intelligence (IJCAI-05), Edinburgh, Scotland.

Kochenderfer, M. J. (2005). Adaptive Modeling and Planning for Reactive Agents. In Twentieth National Conference on Artificial Intelligence (AAAI-05), Pittsburgh, Pennsylvania. [pdf]

Gupta, R. and Kochenderfer, M. J. (2004). Common sense data acquisition for indoor mobile robots. In Nineteenth National Conference on Artificial Intelligence (AAAI-04), San Jose, California. [pdf]

Gupta, R. and Kochenderfer, M. J. (2004). Using statistical techniques and WordNet to reason with noisy data. In Workshop on Adaptive Text Extraction and Mining, Nineteenth National Conference on Artificial Intelligence (AAAI-04), San Jose, California.

Kochenderfer, M. J. and Gupta, R. (2003). Common sense data acquisition for indoor mobile robots. In Distributed and Collaborative Knowledge Capture Workshop (DC-KCAP), Sanibel, Florida.

Kochenderfer, M. J. (2003). Evolving hierarchical and recursive teleo-reactive programs through genetic programming. In Ryan, C., Soule, T., Keijzer, M., Tsang, E., Poli, R., and Costa, E., editors, Proceedings of the Sixth European Conference on Genetic Programming (EuroGP-2003), volume 2610 of LNCS, pages 84-94, Essex. Springer-Verlag. [pdf]

Kochenderfer, M. J. (2002). Evolving teleo-reactive programs for block stacking using indexicals through genetic programming. In Koza, J. R., editor, Genetic Algorithms and Genetic Programming at Stanford 2002, pages 111-118. Stanford Bookstore, Stanford, California, 94305-3079 USA. [pdf]

Selected Research Course Project Papers

Aycinena, M., Kochenderfer, M. J., and Mulford, D. C. (2003) An evolutionary approach to natural language grammar induction. Final project for CS224N: Natural Language Processing, Stanford University. [pdf]

Kochenderfer, M. J. (2001) Learning unknown additive normal form games. Final project for CS224M: Multi Agent Systems, Stanford University. [pdf]