98 search results - page 12 / 20 » Some Experiments with Real-time Decision Algorithms |
150
Voted
CIKM
2010
Springer
15 years 2 months ago
2010
Springer
This paper introduces the notion of temporally constrained ranked retrieval, which, given a query and a time constraint, produces the best possible ranked list within the specifi...
140
Voted
COLT
2006
Springer
15 years 7 months ago
2006
Springer
In this paper, we study a sequential decision making problem. The objective is to maximize the total reward while satisfying constraints, which are defined at every time step. The...
134
Voted
ISDA
2006
IEEE
15 years 9 months ago
2006
IEEE
The use of monolithic neural networks (such as a multilayer perceptron) has some drawbacks: e.g. slow learning, weight coupling, the black box effect. These can be alleviated by t...
127
Voted
CAV
1993
Springer
15 years 7 months ago
1993
Springer
Abstract. We describe the implementation, within ALDEBARAN of an algorithmic method allowing the generation of a minimal labeled transition rom an abstract model ; this minimality ...
115
Voted
WSC
2008
15 years 6 months ago
2008
Reinforcement Learning (RL) is a simulation-based technique useful in solving Markov decision processes if their transition probabilities are not easily obtainable or if the probl...