121 search results - page 10 / 25 » Algorithms for optimal dyadic decision trees |
FOCS
2006
IEEE
14 years 2 months ago
2006
IEEE
We extend the binary search technique to searching in trees. We consider two models of queries: questions about vertices and questions about edges. We present a general approach t...
IJCAI
2007
13 years 9 months ago
2007
A key problem in reinforcement learning is finding a good balance between the need to explore the environment and the need to gain rewards by exploiting existing knowledge. Much ...
ANOR
2007
13 years 8 months ago
2007
The quality of multi-stage stochastic optimization models as they appear in asset liability management, energy planning, transportation, supply chain management, and other applicat...
GECCO
2007
Springer
14 years 2 months ago
2007
Springer
Credit institutions are seldom faced with problems dealing with single objectives. Often, decisions involving optimizing two or more competing goals simultaneously need to be made...
CIMCA
2008
IEEE
14 years 2 months ago
2008
IEEE
Research in reinforcement learning has produced algorithms for optimal decision making under uncertainty that fall within two main types. The first employs a Bayesian framework, ...