Bibliography

1

C. W. Anderson.
Learning and Problem Solving with Multilayer Connectionist Systems.
PhD thesis, University of Massachusetts, Dept. of Comp. and Inf. Sci., 1986.

2

A. G. Barto, R. S. Sutton, and C. W. Anderson.
Neuronlike adaptive elements that can solve difficult learning control problems.
IEEE Transactions on Systems, Man, and Cybernetics, SMC-13:834-846, 1983.

3

M. I. Jordan.
Supervised learning and systems with excess degrees of freedom.
Technical Report COINS TR 88-27, Massachusetts Institute of Technology, 1988.

4

Nguyen and B. Widrow.
The truck backer-upper: An example of self learning in neural networks.
In Proceedings of the International Joint Conference on Neural Networks, pages 357-363. IEEE Press, 1989.

5

T. Robinson and F. Fallside.
Dynamic reinforcement driven error propagation networks with application to game playing.
In Proceedings of the 11th Conference of the Cognitive Science Society, Ann Arbor, pages 836-843, 1989.

6

A. L. Samuel.
Some studies in machine learning using the game of checkers.
IBM Journal on Research and Development, 3:210-229, 1959.

7

J. Schmidhuber.
Learning algorithms for networks with internal and external feedback.
In D. S. Touretzky, J. L. Elman, T. J. Sejnowski, and G. E. Hinton, editors, Proc. of the 1990 Connectionist Models Summer School, pages 52-61. Morgan Kaufmann, 1990.

8

J. Schmidhuber.
Recurrent networks adjusted by adaptive critics.
In Proc. IEEE/INNS International Joint Conference on Neural Networks, Washington, D. C., volume 1, pages 719-722, 1990.

9

J. Schmidhuber.
Towards compositional learning with dynamic neural networks.
Technical Report FKI-129-90, Institut für Informatik, Technische Universität München, 1990.

10

J. Schmidhuber.
Adaptive decomposition of time.
In T. Kohonen, K. Mäkisara, O. Simula, and J. Kangas, editors, Artificial Neural Networks, pages 909-914. Elsevier Science Publishers B.V., North-Holland, 1991.

11

J. Schmidhuber.
Neural sequence chunkers.
Technical Report FKI-148-91, Institut für Informatik, Technische Universität München, April 1991.

12

J. Schmidhuber.
Reinforcement learning in Markovian and non-Markovian environments.
In D. S. Lippman, J. E. Moody, and D. S. Touretzky, editors, Advances in Neural Information Processing Systems 3, pages 500-506. Morgan Kaufmann, 1991.

13

P. J. Werbos.
Consistency of HDP applied to a simple reinforcement learning problem.
Neural Networks, 2:179-189, 1990.

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