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» Control of a Car-Like Robot Using a Dynamic Model
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117
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JMLR
2008
151views more  JMLR 2008»
15 years 17 days 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
99
Voted
ARCS
2009
Springer
15 years 7 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...
88
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ECAL
2007
Springer
15 years 6 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
92
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AAAI
1990
15 years 1 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»
15 years 14 days 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