98 search results - page 17 / 20 » Using Rewards for Belief State Updates in Partially Observab... |
AAAI
2007
13 years 11 months ago
2007
My research focus is on using continuous state partially observable Markov decision processes (POMDPs) to perform object manipulation tasks using a robotic arm. During object mani...
ICCD
2006
IEEE
14 years 5 months ago
2006
IEEE
This paper proposes a stochastic dynamic thermal management (DTM) technique in high-performance VLSI system with especial attention to the uncertainty in temperature observation. ...
NIPS
2003
13 years 10 months ago
2003
Predictive state representations (PSRs) use predictions of a set of tests to represent the state of controlled dynamical systems. One reason why this representation is exciting as...
CSL
2010
Springer
2010
Springer
The Hidden Information State model: A practical framework for POMDP-based spoken dialogue management
13 years 8 months ago
This paper explains how Partially Observable Markov Decision Processes (POMDPs) can provide a principled mathematical framework for modelling the inherent uncertainty in spoken di...
ICRA
2010
IEEE
13 years 7 months ago
2010
IEEE
— Partially Observable Markov Decision Processes (POMDPs) offer a powerful mathematical framework for making optimal action choices in noisy and/or uncertain environments, in par...