Robust Contact-Rich Task Learning With Reinforcement Learning and Curriculum-Based Domain Randomization
Author:
Affiliation:
1. Extreme Robotics Laboratory, School of Metallurgy and Materials, University of Birmingham, Birmingham, U.K.
Funder
“Research and Development of a Highly Automated and Safe Streamlined Process for Increase Lithium-Ion Battery Repurposing and Recycling” Project called
U.K. Research and Innovation Project “Reuse and Recycling of Lithium-Ion Batteries” (RELIB) under RELiB2
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/6287639/10380310/10606428.pdf?arnumber=10606428
Reference20 articles.
1. Constrained model predictive control: Stability and optimality
2. Model Predictive Control in Industry: Challenges and Opportunities
3. Safe Reinforcement Learning Using Robust MPC
4. Reinforcement learning in robotics: A survey
5. Model Predictive-Actor Critic Reinforcement Learning for Dexterous Manipulation
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