Amanote Research
Register
Sign In
Reinforcement Learning for Parameterized Motor Primitives
doi 10.1109/ijcnn.2006.246662
Full Text
Open PDF
Abstract
Available in
full text
Date
January 1, 2006
Authors
J. Peters
S. Schaal
Publisher
IEEE
Related search
Characterizing Reinforcement Learning Methods Through Parameterized Learning Problems
Machine Learning
Artificial Intelligence
Software
Learning Movement Primitives
Springer Tracts in Advanced Robotics
Electronic Engineering
Electrical
Artificial Intelligence
Reinforcement Learning for Blackjack
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
Action Recognition and Understanding Using Motor Primitives
Model Selection for Incremental Learning of Generalizable Movement Primitives
Reinforcement Learning
Computers and Mathematics with Applications
Mathematics
Computational Mathematics
Simulation
Modeling
Computational Theory
Reinforcement Learning for Decentralized Stochastic Control
Determinantal Reinforcement Learning
Proceedings of the AAAI Conference on Artificial Intelligence
Compound Reinforcement Learning
Transactions of the Japanese Society for Artificial Intelligence
Artificial Intelligence
Software
