Magnetic Field-Based Reward Shaping for Goal-Conditioned Reinforcement Learning-Reference-Cited by-同舟云学术

Magnetic Field-Based Reward Shaping for Goal-Conditioned Reinforcement Learning

Published:2023-12 Issue:12 Volume:10 Page:2233-2247
ISSN:2329-9266
Container-title:IEEE/CAA Journal of Automatica Sinica
language:
Short-container-title:IEEE/CAA J. Autom. Sinica

Author:

Ding Hongyu¹,Tang Yuanze²,Wu Qing²,Wang Bo¹,Chen Chunlin¹,Wang Zhi¹

Affiliation:

1. School of Management and Engineering, Nanjing University,Department of Control Science and Intelligence Engineering,Nanjing,China,210093

2. School of Mechanical and Power Engineering, East China University of Science and Technology,Department of Power Engineering and Process Machinery,Shanghai,China,200237

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Information Systems,Control and Systems Engineering,Control and Optimization

Link

http://xplorestaging.ieee.org/ielx7/6570654/10302455/10302436.pdf?arnumber=10302436

Reference62 articles.

1. A Dirichlet Process Mixture of Robust Task Models for Scalable Lifelong Reinforcement Learning

2. V-REP: A versatile and scalable robot simulation framework

3. Reusable Reinforcement Learning via Shallow Trails

4. Grandmaster level in StarCraft II using multi-agent reinforcement learning

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