Home
About
Advanced Search
Browse by Discipline
Scientific Societies
E-print Alerts
Add E-prints
FAQ
•
HELP
•
SITE MAP
•
CONTACT US
Search
Advanced Search
Anderson, Charles W. - Department of Computer Science, Colorado State University
Computer Science Technical Report
CS440: Introduction to Artificial Intelligence Syllabus for Fall 1996
Efficient Indexing for Object Recognition Using Large Networks \Lambda Mark R. Stevens Charles W. Anderson J. Ross Beveridge
Vehicle Traffic Light Control Using SARSA Thomas L. Thorpe
CS540: Artificial Intelligence
CES Annual Report 1 Table of Contents
The XSB Programmer's Manual Version 1.4.0
CS680: TicTacToe Assignment Due Jan. 29th (SURGE Feb. 12)
Computer Science Technical Report
Using Temporal Neighborhoods to Adapt Function Approximators in Reinforcement
CS680: Neural Networks and Reinforcement Learning Syllabus for Spring, 1996
Robust Reinforcement Learning with Static and Dynamic Stability
The Best Semester Project Ever February 25, 2000
Running Allegro Common Lisp From Emacs 1 Getting Started
CONTINUOUS REINFORCEMENT LEARNING FOR FEEDBACK CONTROL SYSTEMS Submitted by
Summary of Notation Notation for book draft by Sutton and Barto, with additions by David Peter
DISSERTATION A SYNTHESIS OF REINFORCEMENT LEARNING AND ROBUST CONTROL THEORY
PROJECT REPORT USING NEURAL NETWORKS FOR APPROXIMATE RADIOSITY FORM FACTOR
CS680: Assignment SB1 Q1 This preparation assignment has a preponderance of ``essay'' or ``thought'' questions. Do not be
CS440: Assignment #1: Introduction to Common Lisp Assigned Aug. 28th
Some GroovyCool Research Chuck Anderson
Learning and Problem Solving with Multilayer Connectionist Systems
Where do Weather Forecasts and Climate Predictions Come From?
Behavioral Cloning of Student Pilots with Modular Neural Networks Charles W. Anderson anderson@cs.colostate.edu
Reinforcement Learning with Modular Neural Networks for Control Charles W. Anderson Zhaohui Hong
Q-Learning with Hidden-Unit Restarting Charles W. Anderson
The Best Semester Project Ever February 25, 2000
Reinforcement Learning and Control
Comparison of CMACs and Radial Basis Functions for Local Function Approximators in Reinforcement Learning
Strategy Learning with Multilayer Connectionist Representations 1
Synthesis of Reinforcement Learning, Neural Networks, and PI Control Applied to a Simulated Heating Coil
Reinforcement Learning, Neural Networks and PI Control Applied to a Heating Coil
Reinforcement Learning with Modular Neural Networks for Control Charles W. Anderson Zhaohui Hong
Computer Science Technical Report
SIGNAL FRACTION ANALYSIS AND ARTIFACT REMOVAL IN EEG Submitted by
CS680: Assignment SBQ3 Due February 2nd. For SURGE, due February 16th