RL-Based Adaptive Controller for High Precision Reaching in a Soft Robot Arm
Author:
Affiliation:
1. BRAin-Inspired Robotics Lab, BioRobotics Institute, Scuola Superiore Sant'Anna, Pontedera, Italy
2. Department of Mechanical Engineering, National University of Singapore, Singapore
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/8860/10365208/10478622.pdf?arnumber=10478622
Reference62 articles.
1. Learning-Based Control Strategies for Soft Robots: Theory, Achievements, and Future Challenges
2. Review of machine learning methods in soft robotics
3. Incorporating Domain Models into Bayesian Optimization for RL
4. Toward Faster Reinforcement Learning for Robotics: Using Gaussian Processes
5. Proximal policy optimization algorithms;Schulman,2017
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