|
43
|
Learning to Solve Markovian Decision Processes
– Satinder P. Singh
- 1994
|
|
4
|
Reinforcement Learning in Non-Markov Environments
– Steven D. Whitehead, Long Ji Lin
- 1992
|
|
1
|
Divide and Conquer: Pattern Recognition using Mixtures of Experts
– Steve Waterhouse, Steve Waterhouse
- 1997
|
|
10
|
Abstraction in Control Learning
– Richard Yee
- 1992
|
|
1
|
Biologically Inspired Modular Neural Networks
– Farooq Azam, Farooq Azam
- 2000
|
|
472
|
Learning to act using real-time dynamic programming
– Andrew G. Barto, Steven J. Bradtke, Satinder P. Singh
- 1993
|
|
17
|
Multi-Agent Reinforcement Learning: Weighting and Partitioning
– Ron Sun, Todd Peterson
- 1999
|
|
5
|
Performance and efficiency: Recent advances in supervised learning
– Sheng Ma, Chuanyi Ji
- 1999
|
|
5
|
Optimal Learning in Artificial Neural Networks: A Theoretical View
– M. Bianchini, M. Gori
|
|
102
|
Machine-Learning Research -- Four Current Directions
– Thomas G. Dietterich
|
|
58
|
Symbiotic Evolution of Neural Networks in Sequential Decision Tasks
– David Eric Moriarty
- 1997
|
|
3
|
Data Selection and Model Combination in Connectionist Speech Recognition
– Gary David Cook
- 1997
|
|
|
Soft Teaching
– Cristina Baroglio
- 1996
|
|
7
|
The Sensorimotor Foundations of Phonology: A Computational Model of Early Childhood Articulatory and Phonetic Development
– Kevin Lee Markey
- 1994
|
|
42
|
Problem Solving With Reinforcement Learning
– Gavin Adrian Rummery
- 1995
|
|
|
Transfer of Learning by Composing Solutions of Elemental Sequential Tasks
– Satinder Pal
- 1992
|
|
|
Solution of Delayed Reinforcement Learning Problems Having Continuous Action Spaces
– B. Ravindran
- 1996
|
|
|
ATutorial Survey of Reinforcement Learning
– Ssathiya Keerthi, B Ravindran
|
|
9
|
A Tutorial Survey of Reinforcement Learning
– S Sathiya Keerthi, B Ravindran
|