Machine Learning
Chapter 3 memory and learning
A Decision-Theoretic Model of Assistance - Evaluation, Extension and Open Problems Sriraam Natarajan, Kshitij Judah, Prasad Tadepalli and Alan Fern School.
Reinforcement Learning: Learning from Interaction Winter School on Machine Learning and Vision, 2010 B. Ravindran Many slides adapted from Sutton and Barto.
Quizz: Targeted Crowdsourcing with a Billion (Potential) Users Panos Ipeirotis, Stern School of Business, New York University Evgeniy Gabrilovich, Google.
Slide 1
Optimal Nudging. Presentation UD.
Derya_Sezen_POMDP_thesis
AI&BigData Lab. Сергей Шельпук "Artificial Intelligence 2015: Quo Vadis?".
NTU CCA Course & Books
A Hybridized Planner for Stochastic Domains Mausam and Daniel S. Weld University of Washington, Seattle Piergiorgio Bertoli ITC-IRST, Trento.
4/3. (FO)MDPs: The plan General model has no initial state; complex cost and reward functions, and finite/infinite/indefinite horizons Standard algorithms.