Results 81 to 90 of about 8,669,620 (261)

High‐Entropy Alloy Interlayers Toward Advanced Joining for High‐Performance Structural Applications: Current Progress and Emerging Challenges

Advanced Engineering Materials, EarlyView.
HEA interlayers offer a versatile route for joining high‐performance structural materials. Their compositional and structural design regulates interfacial reactions, suppresses brittle IMCs, and improves metallurgical bonding. Sandwich interlayers further integrate defect healing with precipitation strengthening, enabling improved strength–ductility ...
Lin Yuan, Jiafen Song, Jinglong Li, Jiangtao Xiong, Tao Yang   +4 more
wiley   +1 more source

Deep reinforcement learning of sequential action

, 2021
Supporting materials for "Deep reinforcement learning of sequential action results in human-like optimization in a robotic arm ...
George Kachergis, Roy de Kleijn, Deniz Sen   +2 more
core   +2 more sources

Z-Score Experience Replay in Off-Policy Deep Reinforcement Learning

Sensors
Reinforcement learning, as a machine learning method that does not require pre-training data, seeks the optimal policy through the continuous interaction between an agent and its environment.
Yana Yang, Meng Xi, Huiao Dai, Jiabao Wen, Jiachen Yang   +4 more
doaj   +1 more source

Portfolio optimization in cryptocurrencies: a comparison of deep reinforcement learning and traditional approaches

, 2022
The thesis focused on comparing traditional portfolio optimization approaches with deep reinforcement learning for cryptocurrency investments. Python was used to develop a code that optimized a portfolio of cryptocurrencies.
García Pardo, César Camilo
core  

3D‐Printed Titanium Gyroid Scaffold Structure Integrated With Tough Hybrid Materials for Cartilage Replacement

Advanced Engineering Materials, EarlyView.
This study proposes a potential device design for joint cartilage replacement. Silica‐polytetrahydrofuran (SiO2‐PolyTHF) hybrids with customizable mechanical properties were developed to mimic the characteristics of a natural meniscus. These were synthesized through a two‐pot sol–gel hybrid process.
Yu‐Chien Lin, Gloria R. Young, Francesca Tallia, Reece N. Oosterbeek, Shaaz Ghouse, Edward Spiers, Nupur Kohli, Tom Briggs, Marc Masen, Siwei Li, Ren‐Jei Chung, Jonathan R. T. Jeffers, Julian R. Jones   +12 more
wiley   +1 more source

Goal-guided greedy experience replay-enhanced reinforcement learning for efficient autonomous navigation

Scientific Reports
Despite some success in mapless goal-driven navigation using deep reinforcement learning, there is an issue of insufficient experience utilization in deep reinforcement learning-based mapless goal-driven navigation.
Yichun Zeng, Mingshan Xie
doaj   +1 more source

Deep Reinforcement Learning algorithms learn important classes of repeated games optimally—Theoretical and empirical analysis

Franklin Open
This paper evaluates two prominent Deep Reinforcement Learning algorithms, Deep Q-Learning and Twin Delayed Deep Deterministic Policy Gradient, by comparing their learned policies against analytically derived optimal policies in specific game-theoretic ...
Marvin Bongiovi
doaj   +1 more source

Advances in Sustainable and Wearable Textile Based Soft Robotics

Advanced Functional Materials, EarlyView.
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas, Marzia Dulal, Sophia K. Novoselov, Victoria K. Novoselov, Kostya S. Novoselov, Shaila Afroj, Nazmul Karim   +6 more
wiley   +1 more source

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Deep Reinforcement Learning for Cyber Security

, 2021
Deep Reinforcement Learning for Cyber ...
TT Nguyen (7792223), VJ Reddi (15822977)
core