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» Exploring Unknown Environments with Obstacles
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JACM
2006
93views more  JACM 2006»
13 years 8 months ago
Combining expert advice in reactive environments
"Experts algorithms" constitute a methodology for choosing actions repeatedly, when the rewards depend both on the choice of action and on the unknown current state of t...
Daniela Pucci de Farias, Nimrod Megiddo
GRAPHITE
2006
ACM
14 years 2 months ago
Methodologies for immersive robot programming in an augmented reality environment
—Advancements in robotics have gained much momentum in recent years. Industrial robotic systems are increasingly being used outside the factory floor, evident by the growing pres...
Soh-Khim Ong, J. W. S. Chong, Andrew Y. C. Nee
AROBOTS
2002
138views more  AROBOTS 2002»
13 years 8 months ago
Visual Navigation in Natural Environments: From Range and Color Data to a Landmark-Based Model
This paper concerns the exploration of a natural environment by a mobile robot equipped with both a video color camera and a stereo-vision system. We focus on the interest of such ...
Rafael Murrieta-Cid, Carlos Parra, Michel Devy
GECCO
2009
Springer
113views Optimization» more  GECCO 2009»
14 years 3 months ago
Environmental robustness in multi-agent teams
Evolution has proven to be an effective method of training heterogeneous multi-agent teams of autonomous agents to explore unknown environments. Autonomous, heterogeneous agents ...
Terence Soule, Robert B. Heckendorn
COLT
2008
Springer
13 years 10 months ago
Adapting to a Changing Environment: the Brownian Restless Bandits
In the multi-armed bandit (MAB) problem there are k distributions associated with the rewards of playing each of k strategies (slot machine arms). The reward distributions are ini...
Aleksandrs Slivkins, Eli Upfal