Sciweavers

11 search results - page 1 / 3
» Learning in Reactive Environments with Arbitrary Dependence
Sort
View
ALT
2006
Springer
14 years 1 months ago
Asymptotic Learnability of Reinforcement Problems with Arbitrary Dependence
We address the problem of reinforcement learning in which observations may exhibit an arbitrary form of stochastic dependence on past observations and actions. The task for an age...
Daniil Ryabko, Marcus Hutter
JACM
2006
93views more  JACM 2006»
13 years 4 months ago
Combining expert advice in reactive environments
"Experts algorithms" constitute a methodology for choosing actions repeatedly, when the rewards depend both on the choice of action and on the unknown current state of t...
Daniela Pucci de Farias, Nimrod Megiddo
RAS
2010
109views more  RAS 2010»
13 years 3 months ago
Combining active learning and reactive control for robot grasping
Grasping an object is a task that inherently needs to be treated in a hybrid fashion. The system must decide both where and how to grasp the object. While selecting where to grasp...
Oliver Krömer, Renaud Detry, Justus H. Piater...
JIRS
2007
78views more  JIRS 2007»
13 years 4 months ago
Online-learning and Attention-based Approach to Obstacle Avoidance Using a Range Finder
The problem of developing local reactive obstacle-avoidance behaviors by a mobile robot through online real-time learning is considered. The robot operated in an unknown bounded 2...
Shuqing Zeng, Juyang Weng