181 search results - page 27 / 37 » On Policy Learning in Restricted Policy Spaces |
IROS
2007
IEEE
14 years 1 months ago
2007
IEEE
— This paper presents an algorithm for adapting periodic behavior to gradual shifts in task parameters. Since learning optimal control in high dimensional domains is subject to t...
CORR
2008
Springer
13 years 7 months ago
2008
Springer
A wireless system with multiple channels is considered, where each channel has several transmission states. A user learns about the instantaneous state of an available channel by ...
ESANN
2008
13 years 9 months ago
2008
In this paper the application of reinforcement learning to Tetris is investigated, particulary the idea of temporal difference learning is applied to estimate the state value funct...
ICAC
2006
IEEE
14 years 1 months ago
2006
IEEE
— Reinforcement Learning (RL) provides a promising new approach to systems performance management that differs radically from standard queuing-theoretic approaches making use of ...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
This paper presents a novel framework called proto-reinforcement learning (PRL), based on a mathematical model of a proto-value function: these are task-independent basis function...