Learning Task-independent Joint Control for Robotic Manipulators with Reinforcement Learning and Curriculum Learning-Reference-Cited by-同舟云学术

Learning Task-independent Joint Control for Robotic Manipulators with Reinforcement Learning and Curriculum Learning

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA)
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Author:

Væhrens Lars¹,Álvarez Daniel Díez²,Berger Ulrich³,Bøgh Simon¹

Affiliation:

1. Aalborg University,Dept. of Materials and Production,Aalborg,Denmark

2. Mercedes-Benz AG Daimler AG,Stuttgart,Germany

3. Brandenburg University of Technology,Chair of Automation Technology,Cottbus,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10068862/10068777/10068864.pdf?arnumber=10068864

Reference34 articles.

1. Sim2Real Predictivity: Does Evaluation in Simulation Predict Real-World Performance?

2. Sim2Real Transfer for Reinforcement Learning without Dynamics Randomization

3. Policy invariance under reward transformations: Theory and application to reward shaping;ng;Sixteenth International Conference on Machine Learning (ICML) ser ICML ’99,1999

4. Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates

5. Sim2Real Viewpoint Invariant Visual Servoing by Recurrent Control

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