Continuous-Time Reinforcement Learning: New Design Algorithms with Theoretical Insights and Performance Guarantees
Continuous-time nonlinear optimal control problems hold great promise in real-world applications. After decades of development, reinforcement learning (RL) has achieved some of the greatest successes as a general nonlinear control design method. However, a recent comprehensive analysis of state-of-t...
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Main Authors | , |
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Format | Journal Article |
Language | English |
Published |
17.07.2023
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Subjects | |
Online Access | Get full text |
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