779 search results - page 46 / 156 » Reinforcement Using Supervised Learning for Policy Generaliz... |
103
Voted
EURONGI
2005
Springer
15 years 6 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...
139
Voted
NN
2007
Springer
15 years 10 days 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...
81
Voted
ICML
2006
IEEE
16 years 1 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...
141
Voted
JAIR
2007
15 years 22 days 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-...
92
Voted
IJCAI
2007
15 years 2 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 ...