Results 21 to 30 of about 1,662,190 (297)

A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play

Science, 2018
One program to rule them all Computers can beat humans at increasingly complex games, including chess and Go. However, these programs are typically constructed for a particular game, exploiting its properties, such as the symmetries of the board on which
David Silver, T. Hubert, Julian Schrittwieser, Ioannis Antonoglou, Matthew Lai, A. Guez, Marc Lanctot, L. Sifre, D. Kumaran, T. Graepel, T. Lillicrap, K. Simonyan, D. Hassabis   +12 more
semanticscholar   +1 more source

Energy-Efficient Gait Optimization of Snake-Like Modular Robots by Using Multiobjective Reinforcement Learning and a Fuzzy Inference System

IEEE Access, 2022
Snake-like modular robots (MRs) are highly flexible, but, to traverse a challenging terrain or explore a region of interest, MR needs to attain efficient locomotion depending on a tradeoff between objectives like forward velocity and power consumption of
Akash Singh, Wei-Yu Chiu, Shri Harish Manoharan, Alexey M. Romanov   +3 more
doaj   +1 more source

Learning with Delayed Synaptic Plasticity [PDF]

, 2019
The plasticity property of biological neural networks allows them to perform learning and optimize their behavior by changing their configuration. Inspired by biology, plasticity can be modeled in artificial neural networks by using Hebbian learning ...
Fletcher, George, Iacca, Giovanni, Mocanu, Decebal Constantin, Pechenizkiy, Mykola, Yaman, Anil   +4 more
core   +2 more sources

Seismic Performance Evaluation of Highway Bridges under Scour and Chloride Ion Corrosion

Applied Sciences, 2022
Cross-river bridges located in seismically active areas are exposed to two major natural hazards, namely earthquakes and flooding. As the scour depth increases, more parts of the bridge substructure will inevitably be exposed to unfavorable conditions ...
Mi Zhou, Shujun Yin, Guoqiang Zhu, Jiafei Fu   +3 more
doaj   +1 more source

Comparing policy gradient and value function based reinforcement learning methods in simulated electrical power trade [PDF]

, 2012
In electrical power engineering, reinforcement learning algorithms can be used to model the strategies of electricity market participants. However, traditional value function based reinforcement learning algorithms suffer from convergence issues when ...
Burt, Graeme, Galloway, Stuart, Lincoln, Richard, Stephen, Bruce   +3 more
core   +1 more source

Compression Behavior of Basalt Fiber-Reinforced Polymer Tube-Confined Coconut Fiber-Reinforced Concrete

Advances in Materials Science and Engineering, 2018
Basalt fiber is cheap and has excellent mechanical performance. In addition, in combination with the environmentally friendly coconut fiber, it can contribute to sustainable construction materials.
Yang Lv, Xueqian Wu, Yuhao Zhu, Xiao Liang, Quanxi Cheng, Mengran Gao   +5 more
doaj   +1 more source

Leveraging behavioral science and artificial intelligence to support mental health in the workplace: a pilot study

Frontiers in Psychiatry, 2023
IntroductionMany American employers seek to alleviate employee mental health symptoms through resources like employee assistance programs (EAPs), yet these programs are often underutilized.
Ashley B. West, Ashley B. West, Yuzhen Valerie Guo, Amy Bucher, Amy Bucher   +4 more
doaj   +1 more source

The Influence of Mineralized Microorganisms on the Mechanics and Pore Structure of Marine Sandy Formation

Journal of Marine Science and Engineering
Well cementing is an important step in oil and gas development. It uses cement to seal the formation and the casing, preventing fluid leakage. However, when conducting offshore oil well cementing operations, deep-water formations are usually weakly ...
Shaojun Zheng, Chengxiang Tang, Tianle Liu, Shunbo Qin, Zihang Wang, Hourun Lai   +5 more
doaj   +1 more source

Study on the Bond Performance of Epoxy Resin Concrete with Steel Reinforcement

Buildings
Epoxy resin concrete, characterized by its superior mechanical properties, is frequently utilized for structural reinforcement and strengthening. However, its application in structural members remains limited.
Peiqi Chen, Yueqiang Li, Xiaojie Zhou, Hao Wang, Jie Li   +4 more
doaj   +1 more source

Three-Dimensional Nonlinear Seismic Response of Immersed Tunnel in Horizontally Layered Site under Obliquely Incident SV Waves

Shock and Vibration, 2019
A three-dimensional (3D) detailed numerical model of an immersed tunnel in a horizontally layered site is established in this study. The 3D seismic response of the immersed tunnel in a horizontally layered site subjected to obliquely incident waves is ...
Xiaojie Zhou, Qinghua Liang, Yueyu Zhang, Zhongxian Liu, Ying He   +4 more
doaj   +1 more source