Stuart Dreyfus

Orcid: 0000-0002-2347-2022

Affiliations:
  • University of California at Berkeley, Berkeley, CA, USA


According to our database1, Stuart Dreyfus authored at least 23 papers between 1969 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
A tutorial on the art of dynamic programming for some issues concerning Bellman's principle of optimality.
ICT Express, December, 2023

2021
On using dynamic programming for time warping in pattern recognition.
Inf. Sci., 2021

2017
Totally model-free actor-critic recurrent neural-network reinforcement learning in non-Markovian domains.
Ann. Oper. Res., 2017

2010
An analysis on negative curvature induced by singularity in multi-layer neural-network learning.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2008
Corrigendum to: "Second-order stagewise backpropagation for Hessian-matrix analyses and investigation of negative curvature" [Neural Netw. 21(2-3) (2008) 193-203]
Neural Networks, 2008

Second-order stagewise backpropagation for Hessian-matrix analyses and investigation of negative curvature.
Neural Networks, 2008

2007
On practical use of stagewise second-order backpropagation for multi-stage neural-network learning.
Proceedings of the International Joint Conference on Neural Networks, 2007

2006
On derivation of stagewise second-order backpropagation by invariant imbedding for multi-stage neural-network learning.
Proceedings of the International Joint Conference on Neural Networks, 2006

2005
Stagewise Newton, differential dynamic programming, and neighboring optimum control for neural-network learning.
Proceedings of the American Control Conference, 2005

2003
On using discretized Cohen-Grossberg node dynamics for model-free actor-critic neural learning in non-Markovian domains.
Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation: Computational Intelligence in Robotics and Automation for the New Millennium, 2003

2002
Richard Bellman on the Birth of Dynamic Programming.
Oper. Res., 2002

2000
On Derivation of MLP Backpropagation from the Kelley-Bryson Optimal-Control Gradient Formula and Its Application.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1995
Making a Mind vs. Modeling the Brain: AI Back at a Branchpoint.
Informatica (Slovenia), 1995

1992
What Artificial Experts Can and Cannot Do.
AI Soc., 1992

1990
Making a Mind Versus Modelling the Brain.
Proceedings of the Philosophy of Artificial Intelligence., 1990

1989
Expert Human Beings, Competent Systems, and Competent Neural Networks.
Proceedings of the Wissensbasierte Systeme, 1989

1988
Psychology, Philosophy, and Artificial Neural Nets.
Proceedings of the COMPCON'88, Digest of Papers, Thirty-Third IEEE Computer Society International Conference, San Francisco, California, USA, February 29, 1988

Mind over machine - the power of human intuition and expertise in the era of the computer.
Free Press, ISBN: 978-0-02-908061-0, 1988

1986
Competent systems: The only future for inference-making computers.
Future Gener. Comput. Syst., 1986

Why Expert Systems Do Not Exhibit Expertise.
IEEE Expert, 1986

1985
Expert Systems: How Far Can They Go?
Proceedings of the 9th International Joint Conference on Artificial Intelligence. Los Angeles, 1985

1971
The steiner problem in graphs.
Networks, 1971

1969
An Appraisal of Some Shortest-Path Algorithms.
Oper. Res., 1969


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