87 search results - page 8 / 18 » Dynamic Programming for Partially Observable Stochastic Game... |
NIPS
2007
15 years 1 months ago
2007
Diffusion processes are a family of continuous-time continuous-state stochastic processes that are in general only partially observed. The joint estimation of the forcing paramete...
119
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MATES
2009
Springer
15 years 6 months ago
2009
Springer
Abstract. It has been observed that there are interesting relations between planning and agent programming. This is not surprising as agent programming was partially motivated by t...
ATAL
2009
Springer
15 years 6 months ago
2009
Springer
Decentralized partially observable MDPs (DEC-POMDPs) provide a rich framework for modeling decision making by a team of agents. Despite rapid progress in this area, the limited sc...
109
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CDC
2010
IEEE
14 years 6 months ago
2010
IEEE
This research concerns a noncooperative dynamic game with large number of oscillators. The states are interpreted as the phase angles for a collection of non-homogeneous oscillator...
109
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NIPS
1998
15 years 28 days ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...