827 search results - page 96 / 166 » Variational methods for Reinforcement Learning |
96
Voted
JFR
2006
15 years 17 days ago
2006
We propose an approach to building topological maps of environments based on image sequences. The central idea is to use manifold constraints to find representative feature protot...
123
Voted
ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
In online tracking, the tracker evolves to reflect variations in object appearance and surroundings. This updating process is formulated as a supervised learning problem, thus a ...
115
Voted
IROS
2007
IEEE
15 years 7 months ago
2007
IEEE
Abstract— We propose to improve the locomotive performance of humanoid robots by using approximated biped stepping and walking dynamics with reinforcement learning (RL). Although...
88
Voted
ISCC
2003
IEEE
15 years 5 months ago
2003
IEEE
In this paper, we propose a serving system consisting intelligent agents processing society information in a multi-user domain. The agents use the similarity information on the us...
75
Voted
AIPS
2006
15 years 2 months ago
2006
Policy Reuse is a method to improve reinforcement learning with the ability to solve multiple tasks by building upon past problem solving experience, as accumulated in a Policy Li...