Reinforcement Learning: Learning from Interaction Winter School on Machine Learning and Vision, 2010 B. Ravindran Many slides adapted from Sutton and Barto.
Metric State Space Reinforcement Learning for a Vision-Capable Mobile Robot Viktor Zhumatiy a, Faustino Gomez a, Marcus Hutter a and Jürgen Schmidhuber.
Adaptive High-Level Strategy Learning in StarCraft
Reinforcement Learning, Dynamic Programming COSC 878 Doctoral Seminar Georgetown University Presenters: Tavish Vaidya, Yuankai Zhang Jan 20, 2014.
From Motor Babbling to Planning Cornelius Weber Frankfurt Institute for Advanced Studies Goethe University Frankfurt, Germany ICN Young Investigators’
Learning to Price Airline Seats Under Competition 7th Annual INFORMS Revenue Management and Pricing Conference Barcelona, Spain Thursday, 28 th June 2007.
From Exploration to Planning Cornelius Weber and Jochen Triesch Frankfurt Institute for Advanced Studies Goethe University Frankfurt, Germany 18 th International.
Artificial Intelligence Chapter 21. The Situation Calculus
Haley: A Hierarchical Framework for Logical Composition of Web Services
Artificial Intelligence Chapter 21 The Situation Calculus Biointelligence Lab School of Computer Sci. & Eng. Seoul National University.
Multi-agent Reinforcement Learning in a Dynamic Environment
Goal-Directed Feature and Memory Learning Cornelius Weber Frankfurt Institute for Advanced Studies (FIAS) Sheffield, 3 rd November 2009 Collaborators: