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» Task Networks for Controlling Continuous Processes
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SAB
2010
Springer
150views Optimization» more  SAB 2010»
13 years 5 months ago
Internal Models in the Cerebellum: A Coupling Scheme for Online and Offline Learning in Procedural Tasks
The cerebellum plays a major role in motor control. It is thought to mediate the acquisition of forward and inverse internal models of the bodyenvironment interaction [1]. In this ...
Jean-Baptiste Passot, Niceto Luque, Angelo Arleo
ESANN
2007
13 years 9 months ago
The Recurrent Control Neural Network
This paper presents our Recurrent Control Neural Network (RCNN), which is a model-based approach for a data-efficient modelling and control of reinforcement learning problems in di...
Anton Maximilian Schäfer, Steffen Udluft, Han...
ICDCS
2007
IEEE
13 years 11 months ago
Efficient Execution of Continuous Incoherency Bounded Queries over Multi-Source Streaming Data
On-line decision making often involves query processing over time-varying data which arrives in the form of data streams from distributed locations. In such environments typically...
Manish Bhide, Krithi Ramamritham, Mukund Agrawal
EVOW
2003
Springer
14 years 23 days ago
Exploring the T-Maze: Evolving Learning-Like Robot Behaviors Using CTRNNs
Abstract. This paper explores the capabilities of continuous time recurrent neural networks (CTRNNs) to display reinforcement learning-like abilities on a set of T-Maze and double ...
Jesper Blynel, Dario Floreano
SASO
2009
IEEE
14 years 2 months ago
Swarming Polyagents Executing Hierarchical Task Networks
Swarming agents often operate in benign geographic topologies that let them explore alternative trajectories with minor variations that the agent dynamics then amplify for improve...
Sven A. Brueckner, Theodore C. Belding, Robert Bis...