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» Dogged Learning for Robots
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AGENTS
1997
Springer
14 years 2 months ago
Learning View Graphs for Robot Navigation
Abstract. We present a purely vision-based scheme for learning a topological representation of an open environment. The system represents selected places by local views of the surr...
Matthias O. Franz, Bernhard Schölkopf, Philip...
APPINF
2003
13 years 11 months ago
Robotic Societies: Elements of Learning by Imitation
Imitation enables the individuals to acquire new abilities, and encourages social interaction and cultural transfer. The capability to obtain new abilities by observation represen...
Carlos Antonio Acosta Calderon, Huosheng Hu
EPIA
1995
Springer
14 years 1 months ago
Using Stochastic Grammars to Learn Robotic Tasks
Abstract. The paper introduces a reinforcement learning-based methodology for performance improvement of Intelligent Controllers. The translation interfaces of a 3-level Hierarchic...
Pedro U. Lima, George N. Saridis
GECCO
2003
Springer
112views Optimization» more  GECCO 2003»
14 years 3 months ago
Multi-agent Learning of Heterogeneous Robots by Evolutionary Subsumption
Abstract. Many multi-robot systems are heterogeneous cooperative systems, systems consisting of different species of robots cooperating with each other to achieve a common goal. T...
Hongwei Liu, Hitoshi Iba
AR
2007
105views more  AR 2007»
13 years 10 months ago
Reinforcement learning of a continuous motor sequence with hidden states
—Reinforcement learning is the scheme for unsupervised learning in which robots are expected to acquire behavior skills through self-explorations based on reward signals. There a...
Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sug...