Risk-Sensitive, Minimax, and Mixed Risk-Neutral / Minimax Control of Markov Decision Processes-Reference-Cited by-同舟云学术

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Risk-Sensitive, Minimax, and Mixed Risk-Neutral / Minimax Control of Markov Decision Processes

Published:1999 Issue: Volume: Page:21-40
ISSN:
Container-title:Stochastic Analysis, Control, Optimization and Applications
language:
Short-container-title:

Author:

Coraluppi Stefano P.,Marcus Steven I.

Publisher

Birkhäuser Boston

Link

http://link.springer.com/content/pdf/10.1007/978-1-4612-1784-8_2

Reference34 articles.

1. K. Astrom. Optimal control of markov processes with incomplete state information ii. the convexity of the loss function. Journal of Mathematical Analysis and Applications, 26: 403–406, 1969.

2. T. Basar and P. Bernhard. H∞-Optimal Control and Related Minimax Design Problems. Birkhauser, 1995.

3. D. P. Bertsekas. Dynamic Programming and Optimal Control. Athena Scientific, 1995.

4. J. S. Baras and M. R. James. Robust and risk-sensitive output feedback control for finite state machines and hidden markov models. Journal of Mathematical Systems, Estimation, and Control, to appear.

5. D. P. Bertsekas and I. B. Rhodes. On the minimax feedback control of uncertain systems. In Proc. IEEE Conference on Decision and Control, 451–455, 1971.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Rare Third-Party Punishment Promotes Cooperation in Risk-Averse Social Learning Dynamics;Frontiers in Physics;2019-01-29

2. Risk-Sensitive Reinforcement Learning;Encyclopedia of the Sciences of Learning;2012

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