Results 181 to 190 of about 57,740 (314)

Deep reinforcement learning control unlocks enhanced heat transfer in turbulent convection. [PDF]

Proc Natl Acad Sci U S A
Zhou Z, Zhu X.
europepmc   +1 more source

Catalysts for Electrochemical Oxidation of Ammonia: A Comprehensive Review of Fundamentals and Optimization Strategies

Advanced Materials, EarlyView.
Developing robust catalysts for ammonia electrochemical oxidation (AOR) is essential for advancing NH3 utilization technologies. This review summarizes recent progress in catalyst design and mechanistic understanding of AOR. In addition, it systematically investigates strategies to improve AOR performance for various types of catalysts.
Yike Ye, ChenCheng Dai, Kamal Elouarzaki, Gang Wu, Zhichuan J. Xu   +4 more
wiley   +1 more source

Adaptive emergency response and dynamic crowd navigation for mobile robot using deep reinforcement learning. [PDF]

Front Robot AI
Alexander A, Vangaveeti VNS, Venkatesan K, Mounsef J, Ramanujam K.   +4 more
europepmc   +1 more source

Parameter Sharing Deep Deterministic Policy Gradient for Cooperative Multi-agent Reinforcement Learning

, 2017
Xiangxiang Chu, Hangjun Ye
openalex   +2 more sources

Recent Advances in Reactive Microdroplets for Clean Water and Energy

Advanced Materials, EarlyView.
Reactive microdroplets enable precise and sustainable chemistry at small scales. This review explores their role as confined reactors and dynamic interfaces for synthesizing functional materials, fuels, and microdevices. It offers a critical perspective on how droplet‐based platforms can drive next‐generation technologies in clean energy, environmental
Qiuyun Lu, Boubakar Sanogo, Tanay Kumar, Ben Bin Xu, Xuehua Zhang   +4 more
wiley   +1 more source

Deep reinforcement learning for automatic defocus correction using OCT image intensity. [PDF]

Biomed Opt Express
Xu G, Smart TJ, Athwal A, Zawadzki RJ, Munro PRT, Sarunic MV.   +5 more
europepmc   +1 more source

End-to-End Optimization of Task-Oriented Dialogue Model with Deep Reinforcement Learning

, 2017
Bing Liu, Gökhan Tür, Dilek Hakkani‐Tür, Pararth Shah, Larry Heck   +4 more
openalex   +2 more sources

Fall Risk Reduction for the Elderly by Using Mobile Robots Based on Deep Reinforcement Learning [PDF]

, 2018
Takaaki NAMBA, Yogi Yamada
openalex   +1 more source

Additively Manufacturable High‐Strength Aluminum Alloys with Coarsening‐Resistant Microstructures Achieved via Rapid Solidification

Advanced Materials, EarlyView.
Rapid solidification in laser additive manufacturing facilitates the precipitation of metastable phases in aluminum alloys. These metastable phases significantly enhance the strength by forming a high‐volume fraction of precipitates with an order of magnitude reduced sizes and smaller interspacing, effectively impeding dislocation motion. Consequestly,
S. Mohadeseh Taheri‐Mousavi, Michael Xu, Florian Hengsbach, Clay Houser, Zhaoxuan Ge, Benjamin Glaser, Shaolou Wei, Mirko Schaper, James M. LeBeau, Greg B. Olson, A. John Hart   +10 more
wiley   +1 more source

Financial trading decision model based on deep reinforcement learning for smart agricultural management. [PDF]

PeerJ Comput Sci
Fan D, Ab Razak NH, Soh WN.
europepmc   +1 more source