129 search results - page 26 / 26 » Automatic Recovery Using Bounded Partially Observable Markov... |
HRI
2007
ACM
13 years 9 months ago
2007
ACM
Intelligent planning algorithms such as the Partially Observable Markov Decision Process (POMDP) have succeeded in dialog management applications [10, 11, 12] because of their rob...
CSL
2010
Springer
13 years 5 months ago
2010
Springer
This paper describes a statistically motivated framework for performing real-time dialogue state updates and policy learning in a spoken dialogue system. The framework is based on...
IJRR
2011
13 years 2 days ago
2011
Abstract Partially observable Markov decision processes (POMDPs) are a principled mathematical framework for planning under uncertainty, a crucial capability for reliable operation...
NECO
2007
13 years 4 months ago
2007
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...