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ICRA
2002
IEEE
147views Robotics» more  ICRA 2002»
13 years 10 months ago
Exploiting Physical Dynamics for Concurrent Control of a Mobile Robot
Conventionally, mobile robots are controlled through an action selection mechanism (ASM) that chooses among multiple proposed actions. This choice can be made in a variety of ways...
Brian P. Gerkey, Maja J. Mataric, Gaurav S. Sukhat...
ICANN
2003
Springer
13 years 10 months ago
The Interaction of Recurrent Axon Collateral Networks in the Basal Ganglia
We have proposed that the basal ganglia act as the central switching mechanism for the action selection system of the vertebrate brain. Simulation of our functional model of basal ...
Mark D. Humphries, Tony J. Prescott, Kevin N. Gurn...
ATAL
2003
Springer
13 years 10 months ago
Action selection in continuous state and action spaces by cooperation and competition of extended kohonen maps
This paper presents an action selection framework based on an assemblage of self-organizing neural networks called Cooperative Extended Kohonen Maps. This framework encapsulates t...
Kian Hsiang Low, Wee Kheng Leow, Marcelo H. Ang
DAGM
2004
Springer
13 years 10 months ago
Multi-step Entropy Based Sensor Control for Visual Object Tracking
We describe a method for selecting optimal actions affecting the sensors in a probabilistic state estimation framework, with an application in selecting optimal zoom levels for a ...
Benjamin Deutsch, Matthias Zobel, Joachim Denzler,...
IROS
2007
IEEE
123views Robotics» more  IROS 2007»
13 years 11 months ago
Reinforcement learning in multi-dimensional state-action space using random rectangular coarse coding and Gibbs sampling
: This paper presents a coarse coding technique and an action selection scheme for reinforcement learning (RL) in multi-dimensional and continuous state-action spaces following con...
Kimura Kimura