Andre, D., and Russell, S.J., 2002. (AAAI-2002, plenary talk)
State Abstraction for Programmable Reinforcement Learning Agents..
Proceedings of the 18th National Conference on Artificial Intelligence.
AAAI press.
The article is available
here..
Fukunaga, A., Hamilton, E., Fama, J., Andre, D., Matan, O., and Nourbakhsh, I. 2002.
(IAAI-2002, deployed application award)
Staff Scheduling for Inbound Call Centers and Customer Contact Centers
Proceedings of the 2002 Conference on Innovative Applications in Artificial Intelligence
AAAI press.
The article is available
here as a word document..
Andre, D., and Russell, S.J., 2001. (NIPS-2000)
Programmable Reinforcement Learning Agents..
Proceedings of the 13th Conference on Neural Information Processing Systems.
MIT Press, pages 1019-1025.
The paper is available
here..
Forbes, J., and Andre, D., 2000. (AAAI Spring
Symp.)
Real-time reinforcement learning in continuous
domains..
Appeared in AAAI Spring Symposium on Real-Time Autonomous Systems.
This paper is available here..
An unpublished but somewhat more complete version is available here..
Koza, J.R., Andre, D, Bennet, F. H, Keane, M. 1999 (book)
Genetic Programming III: Automatic Program and
Circuit Synthesis
Morgran Kaufman.
Information on this book is available here.
It can be purchased here.
Andre, D., and Teller, A., 1999. (Robocup paper)
Evolving Team Darwin United..
In Asada, M. (ed) Robocup-98: Robot Soccer World Cup II. Lecture
Notes in Computer Science. Springer-Verlag
This paper is available here.
.
Andre, David. 1998 (HRL Workshop Paper)
Learning Hierarchical Behaviors.
Hierarchical Reinforcement Learning Workshop, NIPS 1998.
The paper is available here.
Andre, David, and Koza, John, R. 1998(journal
article, ISJ)
Exploiting the fruits of parallelism:
An implementation of parallel genetic programming
that achieves super-linear performance.
Information Science Journal, Elsevier.
A postscript preprint is available here.
Andre, David, Koza, J.R., Bennet III, F. H., Keane, M. 1998 (ICEC-98)
On the theory of designing circuits using genetic
programming and a minimum of domain knowledge.
Proceedings of the 1998 IEEE Conference on Evolutionary Computation.
Piscataway, NJ: IEEE Press. In Press.
Andre, David. 1997. (invited chapter, HEC)
Learning and Upgrading Rules for an Optical Character
Recognition System Using Genetic Programming.
Invited chapter in Handbook of Evolutionary Computation.
Oxford University Press. In Press.
Teller, Astro, and Andre, David. 1997. (GP-97)
Automatically Choosing the Number of Fitness
Cases: The Rational Allocation of Trials.
Second International Conference on Genetic Programming 1997.
Morgan Kauffman.
The paper is available here.
Koza, John R., Bennett III, Forrest H, Andre, David, Keane, Martin A,
and Dunlap, Frank. 1997. (Journal article,
IEEE-TEC)
Automated synthesis of analog electrical circuits
by means of genetic programming.
IEEE Transactions on Evolutionary Computation.
1(2). Pages 109-128.
Andre, David, Bennett III, Forrest H, Koza, John. 1997. (IJCAI-97)
Exceeding Human Performance on the Majority Classification
Problem: A responseto AAAI-96 Challenge #8
IJCAI-97 poster presentation.
Andre, David, and Teller, Astro. 1996. (GP-96)
A Study in Program Response and the Negative
Effects of Introns in Genetic Programming.
In Koza, John R., Goldberg, David E., Fogel, David B., and Riolo, Rick
L. (editors).
Genetic Programming 1996: Proceedings of the First Annual Conference,
July 28-31, 1996, Stanford University. Cambridge, MA: MIT Press.
This paper is available here.
Nourbakhsh, I. and Andre, David. 1996. (patent)
Generating Categorical Depth Maps Using Passive
Defocus Sensing.
U.S. Patent number 5793900, awarded Aug 11, 1998.
Andre, David, Bennett III, Forrest H, and Koza, John R. 1996. (ALIFE-96)
Evolution of intricate long-distance communication
signals in cellular automata using genetic programming.
In Artificial Life V: Proceedings of the Fifth International Workshop
on the Synthesis and Simulation of Living Systems.
Cambridge, MA: The MIT Press.
The paper is available here.
Koza, John R. and Andre, David. 1996. (ECTA, book
chapter)
Automatic discovery of protein motifs using genetic
programming.
In Yao, Xin (editor).
Evolutionary Computation: Theory and Applications.
Singapore: World Scientific.
Koza, John R., Bennett III, Forrest H, and Andre, David A. 1996. (patent)
Method and appartus for automated design of
complex structures using genetic programming
U.S. Patent number 5867397, awarded Feb 2, 1999.
Andre, David. 1994. (IEEE-ICEC-94)
Evolution of map making: Learning, planning,
and memory using genetic programming.
Proceedings of the First IEEE Conference on Evolutionary Computation.
IEEE Press. Volume I. Page 250-255.
click
here for abstract
click
here for .ps file
Andre, David. 1994. (IEEE-ICEC-94)
Learning and upgrading rules for an OCR system
using genetic programming.
Proceedings of the First IEEE Conference on Evolutionary Computation.
IEEE
Press. Volume I. Pages 462-467.
abstract
postscript
file
Andre, David. 1994. (BS thesis)
Artificial Evolution of Intelligence: Lessons
from natural evolution: An illustrative approach using Genetic Programming.
BS Honors Thesis. Stanford University. Symbolic Systems Program.
abstract
postscript
file
Andre, David. 1994. (BA thesis)
Acquisistion of biological knowledge: the
effect of familiarity on induction.
BA Honors Thesis. Stanford University. Psychology Department.
Koza, J.R., Andre, David, and Tacket, W. A. 1994. (patent)
Simultaneous Evolution of the Architecture
of a Multi-Part Program to Solve a Problem Using Architecture Altering
Operations.
U. S. Patent application number 5742738, awarded April 21, 1998, also
U. S. Patent application number 6058385, awarded May 2, 2000.
