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Home Energy Management Algorithm Based on Deep Reinforcement Learning Using Multistep Prediction.

, , and . IEEE Access, (2021)

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Detecting Cognitive Distraction using Random Forest by Considering Eye Movement Type., , , and . Int. J. Cogn. Informatics Nat. Intell., 11 (1): 16-28 (2017)Designing a Car-Driver's Cognitive Process Model for considering Degree of Distraction., , , and . Int. J. Softw. Sci. Comput. Intell., 7 (3): 1-16 (2015)Evaluation Model of Cognitive Distraction State Based on Eye Tracking Data Using Neural Networks., , , , and . Int. J. Softw. Sci. Comput. Intell., 6 (1): 1-16 (2014)Deep Reinforcement Learning with Dual Targeting Algorithm., , and . IJCNN, page 1-6. IEEE, (2019)Traffic Signal Control System Using Deep Reinforcement Learning With Emphasis on Reinforcing Successful Experiences., , and . IEEE Access, (2022)Considering eye movement type when applying random forest to detect cognitive distraction., , , and . ICCI*CC, page 377-382. IEEE Computer Society, (2016)Home Energy Management Algorithm Based on Deep Reinforcement Learning Using Multistep Prediction., , and . IEEE Access, (2021)Evaluation of Driver's Cognitive Distracted State Considering the Ambient State of a Car., , , and . Int. J. Cogn. Informatics Nat. Intell., 13 (1): 13-24 (2019)Evaluation model of cognitive distraction state based on eye-tracking data using neural networks., , , , and . ICCI*CC, page 428-434. IEEE Computer Society, (2013)A Proposal for Reducing the Number of Trial-and-Error Searches for Deep Q-Networks Combined with Exploitation-Oriented Learning., , and . ICMLA, page 983-988. IEEE, (2018)