Results 201 to 210 of about 5,876,040 (331)

Distributed reinforcement learning for a traffic engineering application [PDF]

, 2000
Mark D. Pendrith
openalex   +1 more source

Recycling and Sustainable Design for Smart Textiles − A Review

Advanced Sustainable Systems, EarlyView.
The article reviews recycling strategies and sustainable design approaches for smart textiles, emphasizing eco‐friendly materials, mechanical and chemical recycling methods, and circular economy principles. It explores challenges in separating embedded electronics and highlights recent innovations in sustainable textile technology.
Melkie Getnet Tadesse, Molla Tadesse Abate, Jörn Felix Lübben, Michael Rauch   +3 more
wiley   +1 more source

Comprehensive review of reinforcement learning for medical ultrasound imaging. [PDF]

Artif Intell Rev
Elmekki H, Islam S, Alagha A, Sami H, Spilkin A, Zakeri E, Zanuttini AM, Bentahar J, Kadem L, Xie WF, Pibarot P, Mizouni R, Otrok H, Singh S, Mourad A.   +14 more
europepmc   +1 more source

Data‐Driven Lithium Salt Design for Long‐Cycle Lithium Metal Battery

Advanced Sustainable Systems, EarlyView.
This study introduces a data‐driven model to predict Coulombic efficiency and lithium thickness evolution in lithium metal batteries using electrolyte composition and DFT‐derived descriptors. Machine learning models, especially XGBoost and random forest, reduce prediction error by over 50% compared to models using only structural information.
Un Hwan Lee, Kyungju Nam, Seung Hyo Noh, Donghwi Kim, Joonhee Kang   +4 more
wiley   +1 more source

“Explosive” processes in recidivism and other reinforcement models of learning

, 1991
Irwin Greenberg
openalex   +1 more source

Naive Reinforcement Learning With Endogenous Aspirations [PDF]

, 2000
Tilman Börgers, Rajiv Sarin
openalex   +1 more source

Rewiring Neuroimmunity: Nanoplatform Innovations for CNS Disease Therapy

Advanced Therapeutics, EarlyView.
This review explores emerging nanoplatform strategies designed to modulate neuroimmune responses for treating central nervous system (CNS) disorders. It examines structural and microenvironmental barriers, advances in multifunctional and targeted nanotechnologies, and highlights clinical progress and translational challenges, offering insights into the
Muhammad Usman Akbar, Weiwei Guo, Xin Shen, Yimeng Fang, Yilin Liu, Peng‐Yuan Wang, Roey Elnathan, Yaping Chen   +7 more
wiley   +1 more source

An Application of Reinforcement Learning to Dialogue Strategy Selection in a Spoken Dialogue System for Email [PDF]

, 2000
Marilyn Walker
openalex   +1 more source

Predicting Fiber Length Characteristics of Recycled Cotton and Cellulose Fiber Blends Using Machine Learning Models

Advanced Theory and Simulations, EarlyView.
This study explores machine learning‐driven prediction of fiber length characteristics in sustainable yarn blends made from recycled cotton and Lyocell. By analyzing empirical data through models like Random Forest and Gradient Boosting, and interpreting results with SHAP, key fiber length features from the Staple Diagram and Fibrogram are identified ...
Tuser Tirtha Biswas, Michael Will, Nawar Kadi   +2 more
wiley   +1 more source

Experience-Based Reinforcement Learning to Acquire Effective Behavior in a Multi-agent Domain [PDF]

, 2000
Sachiyo Arai, Katia Sycara, Terry R. Payne   +2 more
openalex   +1 more source