Artificial Neural Networks
A BRIEF INTRODUCTION TO NEURAL NETWORKS Luke Flemmer.
Goman, Khramtsovsky, Kolesnikov (2006) - Computational Framework for Analysis of Aircraft Nonlinear Dynamics & Control Design Based on Qualitative Methods
On Quantification of Anchor Placement
High-Order Similarity Relations in Radiative Transfer Shuang Zhao 1, Ravi Ramamoorthi 2, and Kavita Bala 1 1 Cornell University 2 University of California,
Power Grid Sizing via Convex Programming Peng Du, Shih-Hung Weng, Xiang Hu, Chung-Kuan Cheng University of California, San Diego 1.
Da Yan, Zhou Zhao and Wilfred Ng The Hong Kong University of Science and Technology.
Chapter 8: Generalization and Function Approximation pLook at how experience with a limited part of the state set be used to produce good behavior over.
On Linking Reinforcement Learning with Unsupervised Learning Cornelius Weber, FIAS presented at Honda HRI, Offenbach, 17 th March 2009.
Introduction to Location Discovery Lecture 4 September 14, 2004 EENG 460a / CPSC 436 / ENAS 960 Networked Embedded Systems & Sensor Networks Andreas Savvides.
An Introduction to COMPUTATIONAL REINFORCEMENT LEARING Andrew G. Barto Department of Computer Science University of Massachusetts – Amherst Lecture 3 Autonomous.
Goal-Directed Feature Learning Cornelius Weber and Jochen Triesch