Results 191 to 200 of about 57,740 (314)

Beating the World's Best at Super Smash Bros. with Deep Reinforcement Learning

, 2017
Vlad Firoiu
openalex   +2 more sources

A Roadmap for Plasma‐Enabled Electrocatalysis in Urea Production

Advanced Materials, Volume 37, Issue 43, October 29, 2025.
A modular plasma—electrochemical platform enables fully electrified urea synthesis from air and CO2 under ambient conditions. This Review integrates plasma oxidation, C─N coupling electrolysis, mechanistic insights, and techno‐economic metrics into a roadmap for scalable, distributed, and renewable fertilizer production.
Jingwen Huang, Zhongping Qu, Renwu Zhou, Jing Sun, Rusen Zhou, Dorna Esrafilzadeh, Ali R. Jalili   +6 more
wiley   +1 more source

Adaptive heartbeat regulation using double deep reinforcement learning in a Markov decision process framework. [PDF]

Sci Rep
Ayadi W, Alkhazraji E, Khaled H, Bouteraa Y, Abedini M, Mohammadzadeh A.   +5 more
europepmc   +1 more source

Learning how to Active Learn: A Deep Reinforcement Learning Approach

, 2017
Meng Fang, Yuan Li, Trevor Cohn
openalex   +2 more sources

Design Strategies and Roles of Hydrogels for Sustainable Energy Conversion and Harvesting from Natural and Biological Environments

Advanced Materials, EarlyView.
This review examines hydrogel‐based technologies driven by environmental stimuli and emphasizes their unique contributions to energy conversion. It provides insights into design strategies and recent advancements in functional hydrogels, highlighting opportunities and challenges in this field.
Wanheng Lu, Wei Li Ong, Xinglong Pan, Zhiwei Li, Guo Tian, Ghim Wei Ho   +5 more
wiley   +1 more source

Deep reinforcement learning-based multi-lane mixed traffic ramp merging strategy. [PDF]

PLoS One
Zhou T, Huang Y, Tian Y, Huang H, Ou M, Lin T.   +5 more
europepmc   +1 more source

Deep Reinforcement Learning for High Precision Assembly Tasks

, 2017
Tadanobu Inoue, Giovanni De Magistris, Asim Munawar, Tsuyoshi Yokoya, Ryuki Tachibana   +4 more
openalex   +2 more sources

Autonomous Implants

Advanced Materials, EarlyView.
An ideal implant should mimic native tissues such that it can integrate, sense, heal, and continue to function, i.e., be autonomous. Although early, there are good steps taken in this way, e.g., the development of stimuli‐responsive, self‐powering, self‐actuating, self‐healing, self‐regenerating, and self‐aware implants.
Jagan Mohan Dodda, Marcel F. Kunrath, Ling Zhou Zhao, Mahdi Bodaghi, Armin Yousefi, Nureddin Ashammakhi   +5 more
wiley   +1 more source

Bayesian deep reinforcement learning for uncertainty quantification and adaptive support optimization in deep foundation pit engineering. [PDF]

Sci Rep
Gu W.
europepmc   +1 more source

Deep Primal-Dual Reinforcement Learning: Accelerating Actor-Critic using Bellman Duality

, 2017
Woon Sang Cho, Mengdi Wang
openalex   +2 more sources