Results 111 to 120 of about 5,876,040 (331)
A Comprehensive Study on Reinforcement Learning and Deep Reinforcement Learning Schemes
Sir Syed University Research Journal of Engineering and TechnologyReinforcement learning (RL) has emerged as a powerful tool for creating artificial intelligence systems (AIS) and solving problems which require sequential decision-making. Reinforcement learning has achieved some impressive achievements in recent years,
Muhammad Azhar +4 more
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, 2021 Mutual learning is an emerging field in intelligent systems which takes inspiration from naturally intelligent agents and attempts to explore how agents can communicate and coop- erate to share information and learn more quickly. While agents in many biological systems have little trouble learning from one another, it is not immediately obvious how ...
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Advanced Functional Materials, EarlyView.Biofabrication aims at providing innovative technologies and tools for the fabrication of tissue‐like constructs for tissue engineering and regenerative medicine applications. By integrating multiple biofabrication technologies, such as 3D (bio) printing with fiber fabrication methods, it would be more realistic to reconstruct native tissue's ...
Waseem Kitana +2 more
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Learning Strict Nash Equilibria through Reinforcement [PDF]
This paper studies the analytical properties of the reinforcement learning model proposed in Erev and Roth (1998), also termed cumulative reinforcement learning in Laslier et al (2001).
Ianni, Antonella
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Advanced Functional Materials, EarlyView.Heterojunctions combining halide perovskites with low‐dimensional materials enhance optoelectronic devices by enabling precise charge control and improving efficiency, stability, and speed. These synergies advance flexible electronics, wearable sensors, and neuromorphic computing, mimicking biological vision for real‐time image analysis and intelligent
Yu‐Jin Du +11 more
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Role of Reinforcement of Learning Across the Continuum of Education: A Scoping Review
Journal of the Dow University of Health Sciences, 2019 Introduction:Behaviorism is a paradigm of learning which covers various learning theories proposed by behavioral psychologists over the past century. Although, most of these theories have now become obsolete, due to a better understanding of the learning
Ayesha Younas, Faryal Azhar, Uzma Urooj
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Reinforcement Learning to Rank [PDF]
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019 Interactive systems such as search engines or recommender systems are increasingly moving away from single-turn exchanges with users. Instead, series of exchanges between the user and the system are becoming mainstream, especially when users have complex needs or when the system struggles to understand the user's intent.
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Advanced Functional Materials, EarlyView.Spinal cord injury (SCI) poses significant challenges for regeneration due to a series of secondary injury mechanisms. How to use biomaterial approach to target the failed regeneration after SCI remains a critical challenge. This review systematically evaluates current strategies to optimize biomaterial topographies for neurite outgrowth, axonal ...
Wei Xu +7 more
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Learning with prolonged delay of reinforcement [PDF]
, 1966 John García +2 more
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Understanding Functional Materials at School
Advanced Functional Materials, EarlyView.This review outlines strategies for effectively teaching nanoscience in schools, focusing on challenges such as scale comprehension and curriculum integration. Emphasizing inquiry‐based learning and chemistry core concepts, it showcases hands‐on activities, digital tools, and interdisciplinary approaches.
Johannes Claußnitzer, Jürgen Paul
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