499 search results - page 10 / 100 » Model Minimization in Markov Decision Processes |
IJCAI
2007
13 years 9 months ago
2007
Agents often have to construct plans that obey deadlines or, more generally, resource limits for real-valued resources whose consumption can only be characterized by probability d...
ML
2002
ACM
13 years 7 months ago
2002
ACM
An issue that is critical for the application of Markov decision processes MDPs to realistic problems is how the complexity of planning scales with the size of the MDP. In stochas...
ATAL
2007
Springer
14 years 1 months ago
2007
Springer
Decentralized Markov Decision Processes (DEC-MDPs) are a popular model of agent-coordination problems in domains with uncertainty and time constraints but very difficult to solve...
HCI
2009
13 years 5 months ago
2009
Sign language (SL) recognition modules in human-computer interaction systems need to be both fast and reliable. In cases where multiple sets of features are extracted from the SL d...
ICRA
2007
IEEE
14 years 1 months ago
2007
IEEE
— While the Partially Observable Markov Decision Process (POMDP) provides a formal framework for the problem of robot control under uncertainty, it typically assumes a known and ...