Results 101 to 110 of about 5,619,500 (318)

A Comprehensive Study on Reinforcement Learning and Deep Reinforcement Learning Schemes

Sir Syed University Research Journal of Engineering and Technology
Reinforcement 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, Mansoor Ahmed Khuhro, Muhammad Waqas, Umair Saeed, Mehar Khan Niazi   +4 more
doaj   +1 more source

Direct reinforcement, sex of model, sex of subject, and learning by vicarious reinforcement [PDF]

, 1969
R. E. Phillips, Scott B. Bentson, Paul H. Blaney   +2 more
openalex   +1 more source

Engineering Topographical Cues to Enhance Neural Regeneration in Spinal Cord Injury: Overcoming Challenges and Advancing Therapies

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, Fenghui Wang, Joshua Stein, Siqiao Wang, Pengfei Jiang, Letao Yang, Liming Cheng, Ki‐Bum Lee   +7 more
wiley   +1 more source

Conventional and reversed partial reinforcement effects in selective learning [PDF]

, 1964
William B. Pavlik, William F. Reynolds
openalex   +1 more source

Mutual Reinforcement Learning

, 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 ...
openaire   +3 more sources

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.
openaire   +3 more sources

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

Advanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu, Junyuan Lu, Jian Hui, Ziyuan Rao, Yang Ren, Hong Wang   +5 more
wiley   +1 more source

Effects of incidental training and reinforcement on mixed schema learning [PDF]

, 1968
Ed M. Edmonds, Marvin R. Mueller
openalex   +1 more source

Mechanically Tunable Bone Scaffolds: In Vivo Hardening of 3D‐Printed Calcium Phosphate/Polycaprolactone Inks

Advanced Functional Materials, EarlyView.
A 3D bone scaffold with osteogenic properties and capable of hardening in vivo is developed. The scaffold is implanted in a ductile state, and a phase transformation of the ceramic induces the stiffening and strengthening of the scaffold in vivo. Abstract Calcium phosphate 3D printing has revolutionized customized bone grafting.
Miguel Mateu‐Sanz, Pablo Varela, Laura del‐Mazo‐Barbara, Irene Lodoso‐Torrecilla, Emilio Jiménez‐Piqué, Jordi Franch, Miguel Alaminos, Maria‐Pau Ginebra   +7 more
wiley   +1 more source

The partial reinforcement effect and competing behavior in a latent learning situation [PDF]

, 1967
Elvis C. Jones, Cecil C. Bridges
openalex   +1 more source