3412 search results - page 180 / 683 » Efficient Reinforcement Learning |
142
click to vote
COMAD
2008
15 years 8 months ago
2008
Personalized rendering of web pages gives the users greater control to view only what they prefer. The goal of this work is to provide a tool that will let users customize the con...
201
Voted
SMC
2007
IEEE
16 years 1 months ago
2007
IEEE
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
198
Voted
IROS
2006
IEEE
16 years 1 months ago
2006
IEEE
— The aquisition and improvement of motor skills and control policies for robotics from trial and error is of essential importance if robots should ever leave precisely pre-struc...
211
Voted
ECML
2005
Springer
16 years 15 days ago
2005
Springer
This paper investigates a novel model-free reinforcement learning architecture, the Natural Actor-Critic. The actor updates are based on stochastic policy gradients employing Amari...
174
Voted
ATAL
2008
Springer
15 years 9 months ago
2008
Springer
The goal of Reinforcement learning (RL) is to maximize reward (minimize cost) in a Markov decision process (MDP) without knowing the underlying model a priori. RL algorithms tend ...