Reinforcement Learning

Author: Richard S. Sutton
Publisher: MIT Press
ISBN: 9780262193986
Size: 65.79 MB
Format: PDF, ePub, Docs
View: 6553
Download Read Online
The discussion ranges from the history of the field's intellectual foundations to recent developments and applications. Areas studied include reinforcement learning problems in terms of Markov decision problems and solution methods.

Introduction To Machine Learning

Author: Ethem Alpaydin
Publisher: MIT Press
ISBN: 0262028182
Size: 29.53 MB
Format: PDF, ePub, Mobi
View: 1017
Download Read Online
Introduction -- Supervised learning -- Bayesian decision theory -- Parametric methods -- Multivariate methods -- Dimensionality reduction -- Clustering -- Nonparametric methods -- Decision trees -- Linear discrimination -- Multilayer ...

Machine Learning And Knowledge Discovery In Databases

Author: José L. Balcázar
Publisher: Springer Science & Business Media
ISBN: 3642159389
Size: 19.25 MB
Format: PDF
View: 1736
Download Read Online
This efficiency is gained at the cost of additional computation time for the
simulations, which generate sample trajectories of candidate policies during
optimization of the expected improvement. Overall, MBOA ... Brochu, E., Cora, V.,
de Freitas, N.: A tutorial on bayesian optimization of expensive cost functions,
with application to active user modeling and hierarchical reinforcement learning.
Technical Report ... Sutton, R., Barto, A.G.: Reinforcement Learning: An
Introduction. MIT Press ...

Efficient Reinforcement Learning Using Gaussian Processes

Author: Marc Peter Deisenroth
Publisher: KIT Scientific Publishing
ISBN: 3866445695
Size: 11.90 MB
Format: PDF, ePub, Mobi
View: 2096
Download Read Online
Integrated Architectures for Learning, Planning, and Reacting Based on
Approximate Dynamic Programming. In Proceedings of the Seventh International
Conference on Machine Learning, pages 215–224. Morgan Kaufman Publishers.
Cited on pp. 31 and 116. Sutton, R. S. and Barto, A. G. (1998). Reinforcement
Learning: An Introduction. Adaptive Computation and Machine Learning. The MIT
Press, Cambridge, MA, USA. Cited on pp. 34, 41, and 113. Szepesv ́ari, C. (2010)
.

Recent Advances In Reinforcement Learning

Author: Sertan Girgin
Publisher: Springer
ISBN: 3540897224
Size: 18.56 MB
Format: PDF, ePub, Mobi
View: 1093
Download Read Online
... of the filter, and adaptive observation noise could be nec- essary for some
more complex tasks, as it is formally input-dependent. Other parametrization for
the Q-function can also be considered. Moreover, there are a few technical
issues, as the search of maxima over actions. Last but not least theoretical
convergence may be a problem and should be studied. References 1. Sutton,
R.S., Barto, A.G.: Reinforcement Learning: An Introduction (Adaptive
Computation and Machine ...

Machine Learning And Knowledge Discovery In Databases

Author: Paolo Frasconi
Publisher: Springer
ISBN: 331946227X
Size: 49.65 MB
Format: PDF, Kindle
View: 2346
Download Read Online
ACM (2005) Stolle, M., Precup, D.: Learning options in reinforcement learning. In:
Koenig, S., Holte, R.C. (eds.) SARA 2002. LNCS, vol. 2371, pp. 212–223.
Springer, Heidelberg (2002) Sutton, R.S.: Learning to predict by the methods of
temporal differences. Mach. Learn. 3(1), 9–44 (1988) Sutton, R.S., Barto, A.G.:
Reinforcement Learning: An Introduction. Adaptive Computation and Machine
Learning. MIT Press, Cambridge (1998) Sutton, R.S., Precup, D., Singh, S.:
Between MDPs ...

Recent Advances Of Neural Network Models And Applications

Author: Simone Bassis
Publisher: Springer Science & Business Media
ISBN: 3319041290
Size: 47.53 MB
Format: PDF, ePub
View: 6396
Download Read Online
11. 12. 13. 14. 15. 16. 17. 18. Barto, A.G., Sutton, R.S.: Reinforcement Learning:
An Introduction. Adaptive Computation and Machine Learning. The MIT Press (
1998) 2. Bekiros, S.D.: Heterogeneous trading strategies with adaptive fuzzy
Actor-Critic reinforcement learning: A behavioral approach. Journal of Economic
Dynamics & Control 34, 1153– 1170 (2010) 3. Bertoluzzo, F., Corazza, M.:
Making financial trading by recurrent reinforcement learning. In: Apolloni, B.,
Howlett, R.J., Jain, ...

Machine Learning And Knowledge Discovery In Databases

Author: Hendrik Blockeel
Publisher: Springer
ISBN: 3642409881
Size: 52.33 MB
Format: PDF, ePub
View: 1392
Download Read Online
Springer, Heidelberg (2005) Schaal, S.: Learning from demonstration. In:
Advances in Neural Information Processing Systems 9. MIT Press (1997) Stanley,
K.O., Miikkulainen, R.: Evolving neural networks through augmenting topologies.
Evolutionary Computation 10(2), 99–127 (2002) Sutton, R.S., Barto, A.G.:
Reinforcement Learning: An Introduction (Adaptive Computation and Machine
Learning). The MIT Press (March 1998) Tanner, B., White, A.: RL-Glue: Language
-independent ...

Computational Collective Intelligence Technologies And Applications

Author: Costin Badica
Publisher: Springer
ISBN: 3642404952
Size: 60.78 MB
Format: PDF, Kindle
View: 1024
Download Read Online
Computing and Informatics 32(5) (2013) ́Snie ̇zynski, B., Dajda, J.: Comparison
of strategy learning methods in farmer–pest problem for various complexity
environments without delays. Journal of Computational Science 4(3), 144–151 (
2013) Stone, P., Sutton, R.S., Kuhlmann, G.: Reinforcement learning for robocup-
soccer keepaway. Adaptive Behavior 13 (2005) Sutton, R., Barto, A.:
Reinforcement Learning: An Introduction (Adaptive Computation and Machine
Learning). The MIT ...