Efficient Multi-objective Reinforcement Learning via Multiple-gradient Descent with Iteratively Discovered Weight-Vector Sets
نویسندگان
چکیده
منابع مشابه
Gradient Descent for General Reinforcement Learning
Andrew Moore [email protected] www.cs.cmu.edu/-awm Computer Science Department 5000 Forbes Avenue Carnegie Mellon University Pittsburgh, PA 15213-3891 A simple learning rule is derived, the VAPS algorithm, which can be instantiated to generate a wide range of new reinforcementlearning algorithms. These algorithms solve a number of open problems, define several new approaches to reinforcement learn...
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ژورنال
عنوان ژورنال: Journal of Artificial Intelligence Research
سال: 2021
ISSN: 1076-9757
DOI: 10.1613/jair.1.12270