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» Basis Expansion in Natural Actor Critic Methods
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IROS
2006
IEEE
187views Robotics» more  IROS 2006»
13 years 11 months ago
Fast and Stable Learning of Quasi-Passive Dynamic Walking by an Unstable Biped Robot based on Off-Policy Natural Actor-Critic
— Recently, many researchers on humanoid robotics are interested in Quasi-Passive-Dynamic Walking (Quasi-PDW) which is similar to human walking. It is desirable that control para...
Tsuyoshi Ueno, Yutaka Nakamura, Takashi Takuma, To...
NIPS
2008
13 years 6 months ago
Estimating vector fields using sparse basis field expansions
We introduce a novel framework for estimating vector fields using sparse basis field expansions (S-FLEX). The notion of basis fields, which are an extension of scalar basis functi...
Stefan Haufe, Vadim V. Nikulin, Andreas Ziehe, Kla...
CICLING
2008
Springer
13 years 6 months ago
Natural Language as the Basis for Meaning Representation and Inference
Abstract. Semantic inference is an important component in many natural language understanding applications. Classical approaches to semantic inference rely on logical representatio...
Ido Dagan, Roy Bar-Haim, Idan Szpektor, Iddo Green...
ICASSP
2011
IEEE
12 years 8 months ago
Joint source-filter modeling using flexible basis functions
Improving on recent work on joint source-filter analysis of speech waveforms, we explore improvements to an autoregressive model with exogenous inputs represented by flexible ba...
Daryush D. Mehta, Daniel Rudoy, Patrick J. Wolfe
NIPS
2007
13 years 6 months ago
Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods
Learning in real-world domains often requires to deal with continuous state and action spaces. Although many solutions have been proposed to apply Reinforcement Learning algorithm...
Alessandro Lazaric, Marcello Restelli, Andrea Bona...