3084 search results - page 34 / 617 » Learning to Take Actions |
AUSAI
1999
Springer
15 years 2 months ago
1999
Springer
Abstract. Q-learning can be used to learn a control policy that maximises a scalar reward through interaction with the environment. Qlearning is commonly applied to problems with d...
NIPS
2007
14 years 11 months ago
2007
Learning in real-world domains often requires to deal with continuous state and action spaces. Although many solutions have been proposed to apply Reinforcement Learning algorithm...
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
The aim of this paper is to address recognition of natural human actions in diverse and realistic video settings. This challenging but important subject has mostly been ignored in...
AI
2007
Springer
14 years 9 months ago
2007
Springer
AI planning requires the definition of action models using a formal action and plan description language, such as the standard Planning Domain Definition Language (PDDL), as inp...
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KES
1998
Springer
15 years 1 months ago
1998
Springer
An agent must acquire internal representation appropriate for its task, environment, sensors. As a learning algorithm, reinforcement learning is often utilized to acquire the rela...