68 search results - page 5 / 14 » Sequential optimisation without state space exploration |
IPPS
1997
IEEE
14 years 1 days ago
1997
IEEE
Program understanding is central to the development of distributed computations, from the initial coding phase, through testing and debugging, to maintenance and support. Our goal...
AIPS
2006
13 years 9 months ago
2006
This paper presents an adaptation of the standard quantum search technique to enable application within Dynamic Programming, in order to optimise a Markov Decision Process. This i...
EWRL
2008
13 years 9 months ago
2008
We consider reinforcement learning in the parameterized setup, where the model is known to belong to a parameterized family of Markov Decision Processes (MDPs). We further impose ...
COR
2008
13 years 8 months ago
2008
Operations research and management science are often confronted with sequential decision making problems with large state spaces. Standard methods that are used for solving such c...
CSCW
2004
ACM
14 years 1 months ago
2004
ACM
A shared visual workspace allows multiple people to see similar views of objects and environments. Prior empirical literature demonstrates that visual information helps collaborat...