626 search results - page 4 / 126 » Guiding Agent Learning in Design |
MATA
2004
Springer
13 years 11 months ago
2004
Springer
Applications for mobile devices have some restrictions because of the limited capabilities and heterogeneity of these devices. However, their communication capabilities allow the d...
NN
2007
Springer
13 years 5 months 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...
IEEEVAST
2010
13 years 19 days ago
2010
In this paper, we introduce ALIDA, an Active Learning Intent Discerning Agent for visual analytics interfaces. As users interact with and explore data in a visual analytics enviro...
SOFSEM
2000
Springer
13 years 9 months ago
2000
Springer
The capability of perceiving the environment is crucial for advancing the level of autonomy and sophistication of (semi)autonomous robotic systems and determines the complexity of ...
AAAI
2006
13 years 7 months ago
2006
As robots become a mass consumer product, they will need to learn new skills by interacting with typical human users. Past approaches have adapted reinforcement learning (RL) to a...