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ICRA
2003
IEEE
120views Robotics» more  ICRA 2003»
14 years 3 months ago
Design and implementation of a behavior-based control and learning architecture for mobile robots
− A behavior-based control and learning architecture is proposed, where reinforcement learning is applied to learn proper associations between stimulus and response by using two ...
Il Hong Suh, Sanghoon Lee, Bong Oh Kim, Byung-Ju Y...
CSREAEEE
2008
128views Business» more  CSREAEEE 2008»
13 years 11 months ago
Public relations System for Mobile Learning
- In this paper, we proposed an automatic pushing system, whereby the users of mobile devices set their preferences on the Internet and receive `pushed' contents, which are a ...
Chul-Woo Kim, Misook Lim, Young-Min Chin
AAAI
2010
13 years 11 months ago
Community-Guided Learning: Exploiting Mobile Sensor Users to Model Human Behavior
Modeling human behavior requires vast quantities of accurately labeled training data, but for ubiquitous people-aware applications such data is rarely attainable. Even researchers...
Daniel Peebles, Hong Lu, Nicholas D. Lane, Tanzeem...
AI
1999
Springer
13 years 9 months ago
Cooperative Behavior Acquisition for Mobile Robots in Dynamically Changing Real Worlds Via Vision-Based Reinforcement Learning a
In this paper, we first discuss the meaning of physical embodiment and the complexity of the environment in the context of multi-agent learning. We then propose a vision-based rei...
Minoru Asada, Eiji Uchibe, Koh Hosoda
IJNSEC
2007
122views more  IJNSEC 2007»
13 years 9 months ago
Detecting Blackhole Attack on AODV-based Mobile Ad Hoc Networks by Dynamic Learning Method
This paper analyzes the blackhole attack which is one of the possible attacks in ad hoc networks. In a blackhole attack, a malicious node impersonates a destination node by sendin...
Satoshi Kurosawa, Hidehisa Nakayama, Nei Kato, Abb...