779 search results - page 46 / 156 » Reinforcement Using Supervised Learning for Policy Generaliz... |
EURONGI
2005
Springer
14 years 1 months ago
2005
Springer
We deploy a novel Reinforcement Learning optimization technique based on afterstates learning to determine the gain that can be achieved by incorporating movement prediction inform...
NN
2007
Springer
13 years 7 months ago
2007
Springer
Reinforcement learning is based on exploration of the environment and receiving reward that indicates which actions taken by the agent are good and which ones are bad. In many app...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
When the transition probabilities and rewards of a Markov Decision Process are specified exactly, the problem can be solved without any interaction with the environment. When no s...
JAIR
2007
13 years 7 months ago
2007
In this paper we present a general, flexible framework for learning mappings from images to actions by interacting with the environment. The basic idea is to introduce a feature-...
IJCAI
2007
13 years 9 months ago
2007
In recent years, there has been a growing interest in using rich representations such as relational languages for reinforcement learning. However, while expressive languages have ...