175 search results - page 30 / 35 » Learning humanoid reaching tasks in dynamic environments |
83
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GECCO
2005
Springer
15 years 3 months ago
2005
Springer
In reinforcement learning problems it has been considered that neither exploitation nor exploration can be pursued exclusively without failing at the task. The optimal balance bet...
NN
2008
Springer
14 years 9 months ago
2008
Springer
Reservoir Computing (RC) techniques use a fixed (usually randomly created) recurrent neural network, or more generally any dynamic system, which operates at the edge of stability,...
IJAMC
2010
14 years 8 months ago
2010
—When dealing with dynamic large-scale topologies such as those underlying peer-to-peer (P2P) distributed virtual environments (DVE), one inescapably reaches the point where eith...
104
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AAAI
2004
14 years 11 months ago
2004
Dynamically-balancing robots have recently been made available by Segway LLC, in the form of the Segway RMP (Robot Mobility Platform). We have addressed the challenge of using the...
NECO
2007
14 years 9 months ago
2007
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...