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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | McEneaney, W.M. |
| Copyright Year | 2002 |
| Description | Author affiliation: Depts. of Math. & Mech./Aerosp. Eng., California Univ., San Diego, La Jolla, CA, USA (McEneaney, W.M.) |
| Abstract | Stochastic games under partial information are typically computationally intractable even in the discrete-time/discrete-state case considered here. We consider a problem where one player has perfect information. The main problem is that the information state for the player with imperfect information is a function over the space of probability distributions (a function over a simplex), and so infinite-dimensional. However, in the problem form here, the payoff is only a function of the terminal state of the system, and the initial information state is either linear or a sum of max-plus delta functions. In this case, the information state and state-feedback value functions belong to finite-dimensional sets. Thus the computational tractability is greatly enhanced. |
| Sponsorship | IEEE Control Syst. Soc |
| Starting Page | 1386 |
| Ending Page | 1391 |
| File Size | 391577 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780375165 |
| ISSN | 01912216 |
| DOI | 10.1109/CDC.2002.1184711 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2002-12-10 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Stochastic processes Costs State-space methods Probability distribution Functional programming Computational complexity Computer applications Vehicle dynamics Aerodynamics Radar |
| Content Type | Text |
| Resource Type | Article |
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