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» Learning from Nature to Build Intelligent Autonomous Robots
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ATAL
2009
Springer
15 years 4 months ago
An empirical analysis of value function-based and policy search reinforcement learning
In several agent-oriented scenarios in the real world, an autonomous agent that is situated in an unknown environment must learn through a process of trial and error to take actio...
Shivaram Kalyanakrishnan, Peter Stone
UPP
2004
Springer
15 years 3 months ago
From Prescriptive Programming of Solid-State Devices to Orchestrated Self-organisation of Informed Matter
Abstract. Achieving real-time response to complex, ambiguous, highbandwidth data is impractical with conventional programming. Only the narrow class of compressible input-output ma...
Klaus-Peter Zauner
73
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WWW
2007
ACM
15 years 10 months ago
Learning information intent via observation
Workers in organizations frequently request help from assistants by sending request messages that express information intent: an intention to update data in an information system....
Anthony Tomasic, Isaac Simmons, John Zimmerman
DNA
2000
Springer
132views Bioinformatics» more  DNA 2000»
15 years 1 months ago
Engineered Communications for Microbial Robotics
Multicellular organisms create complex patterned structures from identical, unreliable components. Learning how to engineer such robust behavior is important to both an improved un...
Ron Weiss, Thomas F. Knight Jr.
HRI
2006
ACM
15 years 3 months ago
FOCUS: a generalized method for object discovery for robots that observe and interact with humans
The essence of the signal-to-symbol problem consists of associating a symbolic description of an object (e.g., a chair) to a signal (e.g., an image) that captures the real object....
Manuela M. Veloso, Paul E. Rybski, Felix von Hunde...