Actor-Critic With Synthesis Loss for Solving Approximation Biases-Reference-Cited by-同舟云学术

Actor-Critic With Synthesis Loss for Solving Approximation Biases

Published:2024-09 Issue:9 Volume:54 Page:5323-5336
ISSN:2168-2267
Container-title:IEEE Transactions on Cybernetics
language:
Short-container-title:IEEE Trans. Cybern.

Author:

Guo Bo-Wen¹^ORCID,Chao Fei¹^ORCID,Chang Xiang²^ORCID,Shang Changjing²^ORCID,Shen Qiang²^ORCID

Affiliation:

1. Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China, School of Informatics, Xiamen University, Xiamen, China

2. Institute of Mathematics, Physics, and Computer Science, Aberystwyth University, Aberystwyth, U.K.

Funder

Key Program of the National Natural Science Foundation of China Joint Fund

Natural Science Foundation of Fujian Province of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6221036/10646531/10518027.pdf?arnumber=10518027

Reference54 articles.

1. Multiobjective Reinforcement Learning-Based Neural Architecture Search for Efficient Portrait Parsing

2. Deep Reinforcement Learning for Combinatorial Optimization: Covering Salesman Problems

3. Reinforcement Learning With Multiple Relational Attention for Solving Vehicle Routing Problems

4. Deep Reinforcement Learning for Multiagent Systems: A Review of Challenges, Solutions, and Applications

5. Asynchronous Episodic Deep Deterministic Policy Gradient: Toward Continuous Control in Computationally Complex Environments

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