Autonomous Underwater Vehicles,Undersea,Energy Consumption,Deep Reinforcement Learning,Reward Function,Multi-agent Reinforcement Learning,Dynamic Environment,Internet ...
9Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York. Current address for A. Hayashi: Department of Pathology, Kyorin University School of ...
cSchool of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China dDepartment of Urology, Tongji Hospital, Tongji Medical College, Huazhong ...
ρ-CP is a crystal plasticity solver that interfaces with the open source finite element solver, MOOSE (https://github.com/idaholab/moose), for crystal plasticity ...
The MSC Section aims to promote the advancement and diffusion of the use of mathematics, statistics and computing in psychology and to arrange conferences, meetings, lectures and discussions of ...
Making optimal decisions in the face of noise requires balancing short-term speed and accuracy. But a theory of optimality should account for the fact that short-term speed can influence long-term ...
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum ...
Affective responses depend on assigning value to environmental predictors of threat or reward. Neuroanatomically, this affective value is encoded at both cortical and subcortical levels. However, the ...
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