Robot Manipulation Skill Learning Based on Stable Sparse Gaussian Process
Author:
Affiliation:
1. Zhejiang University of Technology,Department of Information Engineering,Hangzhou,China
Funder
Zhejiang Provincial Natural Science Foundation of China
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10540646/10540608/10540918.pdf?arnumber=10540918
Reference18 articles.
1. An Algorithmic Perspective on Imitation Learning
2. Improve generated adversarial imitation learning with reward variance regularization
3. Bridging the Gap Between Imitation Learning and Inverse Reinforcement Learning
4. Learning a Flexible Neural Energy Function With a Unique Minimum for Globally Stable and Accurate Demonstration Learning
5. Gaussian process movement primitive
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