129 search results - page 3 / 26 » Automatic Recovery Using Bounded Partially Observable Markov... |
78
Voted
ECML
2005
Springer
15 years 3 months ago
2005
Springer
This paper examines the problem of finding an optimal policy for a Partially Observable Markov Decision Process (POMDP) when the model is not known or is only poorly specified. W...
84
Voted
AAAI
1996
1996
Computing Optimal Policies for Partially Observable Decision Processes Using Compact Representations
14 years 11 months ago
: Partially-observable Markov decision processes provide a very general model for decision-theoretic planning problems, allowing the trade-offs between various courses of actions t...
DSN
2009
IEEE
14 years 8 months ago
2009
IEEE
Preserving the availability and integrity of networked computing systems in the face of fast-spreading intrusions requires advances not only in detection algorithms, but also in a...
67
Voted
COLT
2000
Springer
15 years 2 months ago
2000
Springer
We model reinforcement learning as the problem of learning to control a Partially Observable Markov Decision Process ( ¢¡¤£¦¥§ ), and focus on gradient ascent approache...
83
Voted
AAAI
2007
15 years 17 days ago
2007
Planning under uncertainty involves two distinct sources of uncertainty: uncertainty about the effects of actions and uncertainty about the current state of the world. The most wi...