509 search results - page 77 / 102 » Compositional Models for Reinforcement Learning |
IROS
2007
IEEE
14 years 2 months ago
2007
IEEE
— Neurophysiology has revealed the existence of mirror neurons in brain of macaque monkeys and they shows similar activities during executing an observation of goal directed move...
WWW
2007
ACM
14 years 8 months ago
2007
ACM
The development of user interfaces (UIs) is one of the most timeconsuming aspects in software development. In this context, the lack of proper reuse mechanisms for UIs is increasi...
ICPR
2010
IEEE
13 years 11 months ago
2010
IEEE
Over the last several years, a new probabilistic representation for 3-d volumetric modeling has been developed. The main purpose of the model is to detect deviations from the norm...
NIPS
1997
13 years 9 months ago
1997
Prioritized sweeping is a model-based reinforcement learning method that attempts to focus an agent’s limited computational resources to achieve a good estimate of the value of ...
CDC
2009
IEEE
13 years 5 months ago
2009
IEEE
Abstract--In this paper, d-AdaptOR, a distributed opportunistic routing scheme for multi-hop wireless ad-hoc networks is proposed. The proposed scheme utilizes a reinforcement lear...