2108 search results - page 178 / 422 » Tracking in Reinforcement Learning |
ATAL
2008
Springer
14 years 9 days 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 ...
AAAI
2006
13 years 11 months ago
2006
In this paper we propose a model for human learning and decision making in environments of repeated Cliff-Edge (CE) interactions. In CE environments, which include common daily in...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
Temporal difference (TD) algorithms are attractive for reinforcement learning due to their ease-of-implementation and use of "bootstrapped" return estimates to make effi...
VR
2010
IEEE
13 years 8 months ago
2010
IEEE
Tracking is a major issue of virtual and augmented reality applications. Single object tracking on monocular video streams is fairly well understood. However, when it comes to mul...
CVPR
2010
IEEE
14 years 6 months ago
2010
IEEE
We propose a method that rates the suitability of given templates for template-based tracking in real-time. This is important for applications with online template selection, such...