Results 191 to 200 of about 5,876,040 (331)

Editorial: Hippocampal function and reinforcement learning. [PDF]

Front Comput Neurosci
Daou A, Lee H.
europepmc   +1 more source

THE EFFECTS OF VERBAL REINFORCEMENT COMBINATIONS ON THREE-ALTERNATIVE DISCRIMINATION LEARNING AND EXTINCTION IN INFANTS AND THE ANALYSIS OF ERROR FACTORS

, 1972
Michihiko Matsuda, Fumiko Matsuda
openalex   +2 more sources

Multi‐Material Additive Manufacturing of Soft Robotic Systems: A Comprehensive Review

Advanced Robotics Research, EarlyView.
This review explores the transformative role of multi‐material additive manufacturing (MMAM) in the development of soft robotic systems. It presents current techniques, materials, and design strategies that enable functionally graded and adaptive structures.
Ritik Raj, Quan‐Chen Song, Jia‐Yang Juang   +2 more
wiley   +1 more source

The O.D.E. Method for Convergence of Stochastic Approximation and Reinforcement Learning [PDF]

, 2000
Vivek S. Borkar, Sean Meyn
openalex   +1 more source

Intrinsically Soft Implantable Electronics for Long‐term Biosensing Applications

Advanced Sensor Research, EarlyView.
Intrinsically soft implantable biosensors address the mechanical mismatch of conventional rigid implants, improving biocompatibility and stability. This review explores soft encapsulation matrices, stretchable conductors, implantation strategies, and chronic fixation techniques.
Su Hyeon Lee, Hyo Jin Lee, Sohye Lee, Dae‐Hyeong Kim, Hye Jin Kim, Sung‐Hyuk Sunwoo   +5 more
wiley   +1 more source

Dynamics of striatal action selection and reinforcement learning. [PDF]

Elife
Lindsey JW, Markowitz J, Gillis WF, Datta SR, Litwin-Kumar A.   +4 more
europepmc   +1 more source

EFFECTS OF TASK CHARACTERISTICS AND VICARIOUS REINFORCEMENT ON CHILDREN'S OBSERVATIONAL LEARNING

, 1978
Shohji Sato, Yoko Sato
openalex   +2 more sources

Genetic reinforcement learning through symbiotic evolution for fuzzy controller design [PDF]

, 2000
Chia‐Feng Juang, Jiann-Yow Lin, Chin‐Teng Lin   +2 more
openalex   +1 more source

Machine Learning Enhanced Multimodal Bioelectronics: Advancement Toward Intelligent Healthcare Systems

Advanced Sensor Research, EarlyView.
This review examines recent advancements in multimodal bioelectronics, emphasizing machine learning integration to enhance functionality. The application of machine learning methodologies improving biosignal processing, device adaptability, and diagnostic accuracy is discussed to introduce Machine Learning enhanced bioelectronics as a pathway toward ...
Myoungjae Oh, Enji Kim, Jakyoung Lee, Inhea Jeong, Eunmin Kim, Joonho Paek, Taekyeong Lee, Dayeon Kim, Seung Hyun An, Sumin Kim, Jung Ah Lim, Jang‐Ung Park   +11 more
wiley   +1 more source

Reinforcement Learning-Based Time-Slotted Protocol: A Reinforcement Learning Approach for Optimizing Long-Range Network Scalability. [PDF]

Sensors (Basel)
Alhattab N, Bouabdallah F, Khairullah EF, Aseeri A.   +3 more
europepmc   +1 more source