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» Control of a Car-Like Robot Using a Dynamic Model
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JMLR
2008
151views more  JMLR 2008»
13 years 7 months ago
Learning to Combine Motor Primitives Via Greedy Additive Regression
The computational complexities arising in motor control can be ameliorated through the use of a library of motor synergies. We present a new model, referred to as the Greedy Addit...
Manu Chhabra, Robert A. Jacobs
ARCS
2009
Springer
14 years 2 months ago
Ultra-Fast Downloading of Partial Bitstreams through Ethernet
Abstract. In this paper we present a partial bitstreams ultra-fast downloading process through a standard Ethernet network. These Virtex-based and partially reconfigurable systems...
Pierre Bomel, Jeremie Crenne, Linfeng Ye, Jean-Phi...
ECAL
2007
Springer
14 years 1 months ago
Neural Uncertainty and Sensorimotor Robustness
Real organisms live in a world full of uncertain situations and have evolved cognitive mechanisms to cope with problems based on actions and perceptions which are not always reliab...
Jose A. Fernandez-Leon, Ezequiel A. Di Paolo
AAAI
1990
13 years 9 months ago
Introducing the Tileworld: Experimentally Evaluating Agent Architectures
We describe a system called Tileworld, which consists of a simulated robot agent and a simulated environment which is both dynamic and unpredictable. Both the agent and the enviro...
Martha E. Pollack, Marc Ringuette
TSMC
2008
229views more  TSMC 2008»
13 years 7 months ago
A Comprehensive Survey of Multiagent Reinforcement Learning
Multiagent systems are rapidly finding applications in a variety of domains, including robotics, distributed control, telecommunications, and economics. The complexity of many task...
Lucian Busoniu, Robert Babuska, Bart De Schutter