Imitation-based learning of bipedal walking using locally weighted learning
Walking is an extremely challenging problem due to its dynamically unstable nature. It is further complicated by the high dimensional continuous state and action spaces. We use locally weighted projection regression (LWPR) as a locally structurally adaptive nonlinear function approximator as the bas...
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| Language: | English |
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2010
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| Online Access: | http://hdl.handle.net/2429/18314 |