Call for Papers: NIPS 2013 Workshop on Planning with Information Constraints December 9 or 10, Lake Tahoe (NV), USA Website: http://www.seas.upenn.edu/~ope/workshop
** Call for Papers ** The NIPS 2013 Workshop on Planning with Information Constraints for Control, Reinforcement Learning, Computational Neuroscience, Robotics and Games invites authors to submit contributions. Authors are encouraged to submit their related work to the workshop by 9th of October 11:59 PM PDT (UTC -7 hours) in NIPS format. Submissions should be 4-8 pages long with an extra page for references. Full submission instructions will be posted soon. Authors of the selected papers will be notified to present their work through short presentations or posters. ** About ** How do you make decisions when there are way more possibilities than you can analyze? How do you decide under such information constraints? Planning and decision-making with information constraints is at the heart of adaptive control, reinforcement learning, robotic path planning, experimental design, active learning, computational neuroscience and games. In most real-world problems, perfect planning is either impossible (computational intractability, lack of information, diminished control) or sometimes even undesirable (distrust, risk sensitivity, level of cooperation of the others). Recent developments have shown that a single method, based on the free energy functional borrowed from thermodynamics, provides a principled way of designing systems with information constraints that parallels Bayesian inference. This single method -known in the literature under various labels such as KL-control, path integral control, linearly-solvable stochastic control, information-theoretic bounded rationality- is proving itself very general and powerful as a foundation for a novel class of probabilistic planning problems. ** Organizers ** Bert J. Kappen Naftali Tishby Jan Peters David H. Wolpert Evangelos Theodorou Pedro A. Ortega For more information, please visit: http://www.seas.upenn.edu/~ope/workshop _______________________________________________ uai mailing list [email protected] https://secure.engr.oregonstate.edu/mailman/listinfo/uai
