102 search results - page 10 / 21 » MDPs with Non-Deterministic Policies |
ACL
2000
13 years 8 months ago
2000
Spoken dialogue managers have benefited from using stochastic planners such as Markov Decision Processes (MDPs). However, so far, MDPs do not handle well noisy and ambiguous speec...
AAAI
1997
13 years 8 months ago
1997
Markov Decision Processes (MDPs), currently a popular method for modeling and solving decision theoretic planning problems, are limited by the Markovian assumption: rewards and dy...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
We describe an algorithm for learning in the presence of multiple criteria. Our technique generalizes previous approaches in that it can learn optimal policies for all linear pref...
AAAI
2006
13 years 9 months ago
2006
The software suite we will demonstrate at AAAI '06 was designed around planning with factored Markov decision processes (MDPs). It is a user-friendly suite that facilitates d...
ML
2002
ACM
13 years 7 months ago
2002
ACM
TD() is a popular family of algorithms for approximate policy evaluation in large MDPs. TD() works by incrementally updating the value function after each observed transition. It h...