3084 search results - page 58 / 617 » Learning to Take Actions |
CORR
2011
Springer
14 years 1 months ago
2011
Springer
In this paper, we confront the problem of applying reinforcement learning to agents that perceive the environment through many sensors and that can perform parallel actions using ...
IJCAI
2003
14 years 11 months ago
2003
We propose a novel method for constructing utility models by learning from observed negotiation actions. In particular, we show how offers and counter-offers in negotiation can be...
ICRA
2010
IEEE
14 years 8 months ago
2010
IEEE
— In this work we introduce a novel approach for detecting spatiotemporal object-action relations, leading to both, action recognition and object categorization. Semantic scene g...
ROBOCUP
2007
Springer
15 years 3 months ago
2007
Springer
The existing reinforcement learning approaches have been suffering from the curse of dimension problem when they are applied to multiagent dynamic environments. One of the typical...
ICRA
2007
IEEE
15 years 4 months ago
2007
IEEE
— One of the most notable and recognizable features of robot motion is the abrupt transitions between actions in action sequences. In contrast, humans and animals perform sequenc...