582 search results - page 34 / 117 » Gaussian Processes in Reinforcement Learning |
ICCV
2011
IEEE
12 years 9 months ago
2011
IEEE
Recognition of motions and activities of objects in videos requires effective representations for analysis and matching of motion trajectories. In this paper, we introduce a new r...
AAMAS
2007
Springer
14 years 3 months ago
2007
Springer
Abstract. The application of reinforcement learning algorithms to multiagent domains may cause complex non-convergent dynamics. The replicator dynamics, commonly used in evolutiona...
ICML
2006
IEEE
14 years 10 months ago
2006
IEEE
Reinforcement learning (RL) was originally proposed as a framework to allow agents to learn in an online fashion as they interact with their environment. Existing RL algorithms co...
ICML
2001
IEEE
14 years 10 months ago
2001
IEEE
Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Pri...
P2P
2006
IEEE
14 years 3 months ago
2006
IEEE
The idea of building query-oriented routing indices has changed the way of improving routing efficiency from the basis as it can learn the content distribution during the query r...