451 search results - page 27 / 91 » Approximation algorithms for stochastic orienteering |
COLING
1992
13 years 10 months ago
1992
In this paper, a discrimination and robusmess oriented adaptive learning procedure is proposed to deal with the task of syntactic ambiguity resolution. Owing to the problem of ins...
WSC
2008
13 years 11 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...
AAAI
2004
13 years 10 months ago
2004
This paper considers online stochastic optimization problems where time constraints severely limit the number of offline optimizations which can be performed at decision time and/...
AAAI
2010
13 years 10 months ago
2010
This paper introduces a principled approach for the design of a scalable general reinforcement learning agent. This approach is based on a direct approximation of AIXI, a Bayesian...
ALGOSENSORS
2006
Springer
14 years 14 days ago
2006
Springer
Abstract. We consider the self-deployment problem in a ring for a network of identical sensors: starting from some initial random placement in the ring, the sensors in the network ...