Bypassing the Simulation-to-Reality Gap: Online Reinforcement Learning Using a Supervisor-Reference-Cited by-同舟云学术

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Bypassing the Simulation-to-Reality Gap: Online Reinforcement Learning Using a Supervisor

Published:2023-12-05 Issue: Volume:16 Page:325-331
ISSN:
Container-title:2023 21st International Conference on Advanced Robotics (ICAR)
language:
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Author:

Evans Benjamin David¹,Betz Johannes²,Zheng Hongrui³,Engelbrecht Herman A.¹,Mangharam Rahul³,Jordaan Hendrik W.¹

Affiliation:

1. Stellenbosch University,Department of Electrical and Electronic Engineering,South Africa

2. Technical University of Munich,Professorship Autonomous Vehicle Systems,Munich,Germany

3. University of Pennsylvania,Department of Electrical and Systems Engineering,Philadelphia,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10406297/10406219/10406465.pdf?arnumber=10406465

Reference36 articles.

1. Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey

2. Challenges of real-world reinforcement learning: definitions, benchmarks and analysis

3. A comprehensive survey on safe reinforcement learning;Garcia;Journal of Machine Learning Research,2015

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