HiER: Highlight Experience Replay for Boosting Off-Policy Reinforcement Learning Agents-Reference-Cited by-同舟云学术

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HiER: Highlight Experience Replay for Boosting Off-Policy Reinforcement Learning Agents

Published:2024 Issue: Volume:12 Page:100102-100119
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Horváth Dániel¹^ORCID,Bujalance Martín Jesús¹,Gàbor Erdos Ferenc²^ORCID,Istenes Zoltán³^ORCID,Moutarde Fabien¹

Affiliation:

1. Center for Robotics, Mines Paris, PSL University, Paris, France

2. Centre of Excellence in Production Informatics and Control, Institute for Computer Science and Control, Hungarian Research Network, Budapest, Hungary

3. CoLocation Center for Academic and Industrial Cooperation, Eötvös Loránd University, Budapest, Hungary

Funder

European Union within the framework of the Artificial Intelligence National Laboratory

European Commission through the H2020 project EPIC

Government of France and the Government of Hungary in the framework of “Campus France Bourse du gouvernement français-Bourse Excellence Hongrie

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10595054.pdf?arnumber=10595054

Reference54 articles.

1. A Survey on Transfer Learning

2. A survey of transfer learning

3. Crossing the Reality Gap: A Survey on Sim-to-Real Transferability of Robot Controllers in Reinforcement Learning

4. Sim2Air - Synthetic Aerial Dataset for UAV Monitoring

5. Object Detection Using Sim2Real Domain Randomization for Robotic Applications

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