Neuro Dynamic Programming

Author: Dimitri P. Bertsekas
Publisher:
ISBN: 9781886529106
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This book provides the first systematic presentation of the science and the art behind this promising methodology.

Analytical Methods For Dynamic Modelers

Author: Hazhir Rahmandad
Publisher: MIT Press
ISBN: 0262029499
Size: 72.80 MB
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... the two optimum policies that emerge. 8. Because feature C1 for player 1 is like
C2 for player 2, the element [1,1] of B19* (=26.7) corresponds to the element [3,3]
of B29* ... Bertsekas, D. P. 2007. Dynamic programming and optimal control, 3rd
ed. 2 vols. Optimization and computation series 1. Belmont, MA: Athena Scientific
. Bertsekas, D. P., and J. N. Tsitsiklis. 1996. Neuro-dynamic programming.
Optimization and neural computation series 3. Belmont, MA: Athena Scientific.
Dockner ...

Adaptivity And Learning

Author: Reimer Kühn
Publisher: Springer Science & Business Media
ISBN: 3662055945
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4. Bertsekas, D. P. and Tsitsiklis, J. N. (1989) Neuro Dynamic Programming.
Athena Scientific, Belmont, Massachusetts. 5. Bertsekas, D. P. and Tsitsiklis, J. N.
(1996) Neuro Dynamic Programming. Athena Scientific, Belmont, Massachusetts.
6. Bertsekas, D. P. and Tsitsiklis, J. N. (1996) Neuro-dynamic programming.
Optimization and neural computation series, 3. Athena Scientific. 7. Claus, C. and
Boutilier, C. (1999) The Dynamics of Reinforcement Learning in Cooperative
Multiagent ...

Robocup 2001 Robot Soccer World Cup V

Author: Andreas Birk
Publisher: Springer Science & Business Media
ISBN: 3540439129
Size: 32.14 MB
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Neuro-dynamic programming. Optimization and neural computation series ; 3.
Athena Scientific, 1996. [2] Caroline Claus and Craig Boutilier. The Dynamics of
Reinforcement Learning in Cooperative Multiagent Systems. In IJCAI, 1999. [3]
Jerzy Filar and Koos Vrieze. Competitive Markov decision processes. Springer,
1997. [4] M. Lauer and M. Riedmiller. An algorithm for distributed reinforcement
learning in cooperative multi-agent systems. In Proceedings of International
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Machine Learning And Knowledge Discovery In Databases

Author: Toon Calders
Publisher: Springer
ISBN: 3662448513
Size: 74.44 MB
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22. 23. 24. 25. 3. Bertsekas, D.P., Tsitsiklis, J.N.: Neuro-Dynamic Programming.
Optimization and Neural Computation Series 3, vol. 7. Athena Scientific (1996) 4.
Bradtke, S., Barto, A.: Linear least-squares algorithms for temporal difference
learning. Machine Learning 22, 33–57 (1996) 5. Dani, V., Hayes, T.P., Kakade,
S.M.: Stochastic linear optimization under bandit feedback. In: COLT, pp. 355–
366 (2008) 6. Fathi, M., Frikha, N.: Transport-entropy inequalities and deviation
estimates ...

Micai 2008 Advances In Artificial Intelligence

Author: Alexander Gelbukh
Publisher: Springer
ISBN: 3540886362
Size: 59.93 MB
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Govindaraju, R.S.: Artificial Neural Networks in hydrology: II: hydrological
applications. Journal of Hydrology Engineering 5(2), 124–137 (2000) 9.
Sugawara, M., Watanabe, I., Ozaki, E., Katsuyama, Y.: Tank model with snow
component. Research Notes, No. 65, National Research Center for Disaster
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programming. Optimization and Neural Computation Series, vol. 3. Athena
Scientific (1996) Passino, K.M.: Home ...

Techniques For Adaptive Control

Author: Vance VanDoren
Publisher: Butterworth-Heinemann
ISBN: 0080542255
Size: 66.51 MB
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U.S. Patent No. 6,112,126 (August 29). APPENDIX: TABLE OF ARTIFICIAL
INTELLIGENCE REFERENCE TEXTS Author(s) Title ISBN Subject” Martin.
Anthony, Neural Network Learning: Theoretical 052157353X NN Peter L. Bartlett
Foundations Wolfgang Banzhaf, Foundations of Genetic Algorithms 1558605592
GA Colin Reeves Dimitri P. Bersekas, Neuro-Dynamic Programming (Optimiza-
1886529108 NN John N. Tsitsiklis tion and Neural Computation Series, 3) Lance
Chambers ...

Artificial Life And Computational Intelligence

Author: Stephan Chalup
Publisher: Springer
ISBN: 3319148036
Size: 51.62 MB
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In: 3th Sound and Music Computing Conference, Marseille, France (2006)
Bertsekas, D.P., Tsitsiklis, J.N.: Neuro-Dynamic Programming. Optimization and
Neural Computation Series. Athena Scientific, Belmont (1996) Bickerman, G.,
Bosley, S., Swire, P., Keller, R.: Learning to play ... Neural Networks 22(3), 213–
219 (2009) Doornbusch, P.: The music of CSIRAC: Australia's first computer
music. Common Ground Publishing, Altona (2005) Doya, K.: Metalearning,
neuromodulation and ...

Robust Adaptive Dynamic Programming

Author: Yu Jiang
Publisher: John Wiley & Sons
ISBN: 1119132649
Size: 78.58 MB
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Recurrent neural networks for state estimation. In: Proceedings of the Twelfth
Yale Workshop on Adaptive and Learning Systems, pp. 17–22, New Haven, CT,
2003. C. M. Harris and D. M. Wolpert. Signal-dependent noise determines motor
planning. Nature, 394:780–784, 1998. H. He, Z. Ni, and J. Fu. A three-network
architecture for on-line learning and optimization based on adaptive dynamic
programming. Neurocomputing, 78(1):3–13, 2012. R. Howard. Dynamic
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Efficient Reinforcement Learning Using Gaussian Processes

Author: Marc Peter Deisenroth
Publisher: KIT Scientific Publishing
ISBN: 3866445695
Size: 52.11 MB
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Neuro-Dynamic Programming. Optimization and Computation. Athena Scientific,
Belmont, MA, USA. Cited on pp. 34 and 113. Bhatnagar, S., Sutton, R. S.,
Ghavamzadeh, M., and Lee, M. (2009). Natural Actor- Critic Algorithms. Technical
Report TR09-10, Department of Computing Science, University of Alberta. Cited
on p. 114. Bishop, C. M. (2006). Pattern Recognition and Machine Learning.
Information Science and Statistics. Springer-Verlag. Cited on pp. 8, 17, 27, 46,
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