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Active insulin infusion using fuzzy-based closed-loop
Active insulin infusion using fuzzy-based closed-loop
Application of reinforcement learning for active noise control
.
Observing the state-of-the-art M-estimators design shows that there is a need for further improvements. In this paper, a
feedback ANC based on the reinforcement learning (RL) method is proposed. The sensitivity of the constant parameter
in the RL method...
Active Noise Control Based on Reinforcement Learn-ing
to now evaluation of M-Estimators capabili-ties show that there exists a need for further improvements. In this paper, Reinforcement Learning (RL) methods are used to generate the controller output. The sensitivity of the constant parameter in RL method...
Reinforcement Q-learning for optimal tracking control of linear discrete-time systems with unknown dynamics
In this paper, a novel approach based on the Q-learning algorithm is proposed to solve the infinite-horizon
linear quadratic tracker (LQT) for unknown discrete-time systems in a causal manner. It is assumed
that ...
Hepatitis B Virus Infection Control Using Reinforcement Learning
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