|
1
|
Biological Learning And Artificial Intelligence
– Christian Balkenius
- 1994
|
|
9
|
A Tutorial Survey of Reinforcement Learning
– S Sathiya Keerthi, B Ravindran
|
|
49
|
Reinforcement Learning And Its Application To Control
– Vijaykumar Gullapalli
- 1992
|
|
17
|
Temporal sequence learning, prediction and control - a review of different models and their relation to biological mechanisms
– Florentin Wörgötter, Bernd Porr
- 2004
|
|
|
Downloaded from adb.sagepub.com at University Library on April 27, 2011An Action-Selection Calculus
– Mark Witkowski, Mark Witkowski
- 2007
|
|
3
|
An Action-Selection Calculus
– Mark Witkowski
- 2007
|
|
10
|
Abstraction in Control Learning
– Richard Yee
- 1992
|
|
7
|
The Sensorimotor Foundations of Phonology: A Computational Model of Early Childhood Articulatory and Phonetic Development
– Kevin Lee Markey
- 1994
|
|
1
|
A Tutorial on Reinforcement Learning Techniques
– Carlos Henrique, Costa Ribeiro
|
|
|
Aprendizado por Reforço
– Carlos Henrique Costa Ribeiro
- 1999
|
|
8
|
Reinforcement learning in the brain
– Yael Niv
|
|
2
|
The Construction of `Reality' in the Robot: Constructivist Perspectives on Situated Artificial Intelligence and Adaptive Robotics
– Tom Ziemke
- 2000
|
|
4
|
Biologically-inspired computing approaches to cognitive systems : a partial tour of the literature
– Dave Cliff
- 2003
|
|
10
|
Adaptive Behavior in Autonomous Agents
– Tom Ziemke
- 1998
|
|
98
|
The Artificial Life Roots of Artificial Intelligence
– Luc Steels
- 1993
|
|
24
|
Learning Control Composition in a Complex Environment
– E. G. Araujo, R. A. Grupen
- 1996
|
|
|
ALECSYS and the AutonoMouse: Learning to Control a Real Robot by Distributed Classifier Systems
– Progetto Intelligenza, Artificiale Robotica, Marco Dorigo, Marco Dorigo, Marco Dorigo, Alecsys, The Autonomouse
- 1995
|
|
41
|
Alecsys and the AutonoMouse: Learning to Control a Real Robot by Distributed Classifier Systems
– Marco Dorigo, Ken Dejong
- 1995
|
|
93
|
ZCS: A Zeroth Level Classifier System
– Stewart W. Wilson
- 1994
|
