1 |
Temporal difference learning and TD-Gammon
/
[
Tesauro,G.J.
] /
Communications of the ACM
|
2 |
/
[
Whittle,P.
] /
Optimization over Time
|
3 |
Swing up control of the acrobat
/
[
Spong,M.W.
] /
Proceedings of the 1994 IEEE Conference on Robotics and Automation
|
4 |
Experimental Parameter Identification and Control of pH Neutralization Process Based on an Extended Kalman Filter
/
[
Ahrim Yoo
] /
Master Thesis. Korea University
|
5 |
/
[
White,D.J.
] /
Dynamic Programming
|
6 |
Learnign machines-a unified view
/
[
Andreae,J.H.;Meetham,A.R.(ed.);Hudson,R.A.(ed.)
] /
Encyclopedia of Information, Linguistics, and Control
|
7 |
Simulation Based Dynamic Programming Strategy for Improvement of Control Policies
/
[
Jong Min Lee;Niket S. Kaisare;Jay H. Lee
] /
AIChE 2003 annual meeting in San Francisco
|
8 |
Control of pH Neutralization Process Using Neuro Dynamic Programming
/
[
Dong Kyu Kim;Kwang Soon Lee;Dae R. Yang
] /
AIChE 2003 annual meeting in San Francisco
|
9 |
Improving elevator performance using reinforcement learning
/
[
Grites,R.H.;Barto,A.G.;D.S.Touretzky(ed.);M.C.Mozer(ed.);M.E.H.(ed.)
] /
Advances in Neural Information Processing Systems: Proceedings of the 1995 Conference
|
10 |
Learning from Delayed Rewards
/
[
Watkins,C.J.C.H.
] /
Ph.D.thesis, Cambridge University
|
11 |
Dynamic matrix control-a computer algorithm
/
[
Cutler,C.R.;Ramaker,B.L.
] /
Proceedings of the joint automatic control conference
|
12 |
Simulation based strategy for nonlinear optimal control: Application to a microbial cell reactor
/
[
Niket S. Kaisare;Jong Min Lee;Jay H. Lee
] /
Int. J. Robust Nonlinear Control.
|
13 |
A survey of industrial model predictive control technology
/
[
S. Joe Qin;Thomas A. Badgwell
] /
Control Engineering Practice
|
14 |
Model preditive control: Theory and practice-a survey
/
[
Garcia,C.E.;Prett,D.M.;Morari,M.
] /
Automatica
|
15 |
Advanced forecasting methods for global crisis warning and models of intelligence
/
[
Werbos,P.J.
] /
General Systems Yearbook
|
16 |
TD-gammon, a self-teaching backgammon program. achieves master-level play
/
[
Tesauro,G.J.
] /
Neural Computation
|
17 |
Simulation Based Dynamic Programming for Process Control, Optimization and Scheduling
/
[
Jay H. Lee
] /
AIChE 2003 annual meeting in San Francisco
|
18 |
/
[
R.E.Bellman
] /
Dynamic Programming
|
19 |
/
[
Ross,S.
] /
Introduction to Stochastic Dynamic Programming
|
20 |
Alearning machine with monologue
/
[
Andreae,J.H.
] /
International Journal of Man-Machine Studies
|
21 |
/
[
Dimitri P. Bertsekas;John N. Tsitsiklis
] /
Neuro-Dynamic Programming
|
22 |
Practical issues in temporal difference learning
/
[
Tesauro,G.J.
] /
Machine Learning
|
23 |
/
[
Dreyfus,S.E.;Law,A.M.
] /
The Art and Theory of Dynamic Programming
|
24 |
/
[
Whittle,P.
] /
Optimization over Time
|
25 |
Control of pH Neutralization Process using Simulation Based Dynamic Programming
/
[
Dong Kyu Kim;Dae Ryook Yang
] /
ICCAS 2003 in Gyeongju
|
26 |
/
[
Sutton,R.S.;Barto,A.G.
] /
Reinforcement Learning
|
27 |
Investigation of bacterial growth on mixed substrates: Experimental evaluation of cybemetic models
/
[
D.S.Kompala;D.Ramkrishna;N.B.Jansen;G.t.Tsao
] /
Biotechnology and Bioengineering
|
28 |
Steps Toward Artificial Intelligence
/
[
m.Minsky
] /
Proc. Of the IRE
|