326 search results - page 18 / 66 » Reinforcement Learning Based on On-Line EM Algorithm |
AR
2007
14 years 10 months ago
2007
—Reinforcement learning is the scheme for unsupervised learning in which robots are expected to acquire behavior skills through self-explorations based on reward signals. There a...
ICML
2002
IEEE
15 years 10 months ago
2002
IEEE
An open problem in reinforcement learning is discovering hierarchical structure. HEXQ, an algorithm which automatically attempts to decompose and solve a model-free factored MDP h...
CIMCA
2005
IEEE
15 years 3 months ago
2005
IEEE
We give a fast and practical algorithm for statistical learning hyperparameters from observable data in probabilistic image processing, which is based on Gaussian graphical model ...
AAMAS
2007
Springer
14 years 10 months ago
2007
Springer
In this paper, we investigate the use of parallelization in reinforcement learning (RL), with the goal of learning optimal policies for single-agent RL problems more quickly by us...
ICML
2002
IEEE
15 years 10 months ago
2002
IEEE
Two notions of optimality have been explored in previous work on hierarchical reinforcement learning (HRL): hierarchical optimality, or the optimal policy in the space defined by ...