Adaptable Conservative Q-Learning for Offline Reinforcement Learning

Lyn Qiu; Li Xu; Lenghan Liang; Mingming Sun; Junchi Yan

doi:10.1007/978-981-99-8435-0_16

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Adaptable Conservative Q-Learning for Offline Reinforcement Learning

Lyn Qiu Li Xu Lenghan Liang Mingming Sun Junchi Yan

Year: 2023 Lecture notes in computer science Pages: 200-212 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-99-8435-0_16

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Keywords:

Reinforcement learning Computer science Conservatism Metric (unit) Task (project management) Artificial intelligence Machine learning Obstacle Constraint (computer-aided design) Variety (cybernetics) Performance metric Mathematics

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Reinforcement Learning in Robotics

Physical Sciences → Computer Science → Artificial Intelligence

Evolutionary Algorithms and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Adaptive Dynamic Programming Control

Physical Sciences → Computer Science → Computational Theory and Mathematics

Adaptable Conservative Q-Learning for Offline Reinforcement Learning

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