Conservative In-Distribution Q-Learning for Offline Reinforcement Learning

Zhengdao Shao; Liansheng Zhuang; Jie Yan; Liting Chen

doi:10.1109/ijcnn60899.2024.10650768

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JOURNAL ARTICLE

Conservative In-Distribution Q-Learning for Offline Reinforcement Learning

Zhengdao Shao Liansheng Zhuang Jie Yan Liting Chen

Year: 2024 Vol: 32 Pages: 1-8

DOI: 10.1109/ijcnn60899.2024.10650768

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Keywords:

Reinforcement learning Computer science Distribution (mathematics) Reinforcement Q-learning Artificial intelligence Machine learning Engineering Mathematics Structural engineering

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Reinforcement Learning in Robotics

Physical Sciences → Computer Science → Artificial Intelligence

Adaptive Dynamic Programming Control

Physical Sciences → Computer Science → Computational Theory and Mathematics

Data Stream Mining Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Conservative In-Distribution Q-Learning for Offline Reinforcement Learning

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