Takip et
Andrew Barto
Andrew Barto
University of Massachusetts Amherst
cs.umass.edu üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Reinforcement learning: An introduction
RS Sutton
A Bradford Book, 2018
789542018
Introduction to reinforcement learning
D Ernst, A Louette
Feuerriegel, S., Hartmann, J., Janiesch, C., and Zschech, P, 111-126, 2024
61122024
Neuronlike adaptive elements that can solve difficult learning control problems
AG Barto, RS Sutton, CW Anderson
IEEE transactions on systems, man, and cybernetics, 834-846, 1983
52851983
Toward a modern theory of adaptive networks: expectation and prediction.
RS Sutton, AG Barto
Psychological review 88 (2), 135, 1981
18781981
Recent advances in hierarchical reinforcement learning
AG Barto, S Mahadevan
Discrete event dynamic systems 13, 341-379, 2003
18542003
Learning to act using real-time dynamic programming
AG Barto, SJ Bradtke, SP Singh
Artificial intelligence 72 (1-2), 81-138, 1995
16941995
Introduction to reinforcement learning. Vol. 135
RS Sutton, AG Barto
MIT press Cambridge 5, 21-22, 1998
11971998
Intrinsically motivated reinforcement learning
N Chentanez, A Barto, S Singh
Advances in neural information processing systems 17, 2004
10782004
Linear least-squares algorithms for temporal difference learning
SJ Bradtke, AG Barto
Machine learning 22 (1), 33-57, 1996
10391996
Handbook of learning and approximate dynamic programming
J Si, AG Barto, WB Powell, D Wunsch
John Wiley & Sons, 2004
9992004
Improving elevator performance using reinforcement learning
R Crites, A Barto
Advances in neural information processing systems 8, 1995
9071995
A model of how the basal ganglia generate and use neural signals that predict reinforcement
JC Houk, JL Adams, AG Barto
9041994
Reinforcement learning is direct adaptive optimal control
RS Sutton, AG Barto, RJ Williams
IEEE control systems magazine 12 (2), 19-22, 1992
8571992
Task decomposition through competition in a modular connectionist architecture: The what and where vision tasks
RA Jacobs, MI Jordan, AG Barto
Cognitive science 15 (2), 219-250, 1991
8131991
Time-derivative models of Pavlovian reinforcement.
RS Sutton, AG Barto
The MIT Press, 1990
8131990
Reinforcement Learning: An Introduction. By Richard’s Sutton
AG Barto
SIAM Rev 6 (2), 423, 2021
7892021
Adaptive critics and the basal ganglia
AG Barto
7421994
Reinforcement learning: an introduction MIT Press
RS Sutton, AG Barto
Cambridge, MA 22447, 10, 1998
7141998
Learning and sequential decision making
AG Barto, RS Sutton, C Watkins
University of Massachusetts, 1989
6751989
Automatic discovery of subgoals in reinforcement learning using diverse density
A McGovern, AG Barto
6672001
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–20