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Publications by Riccardo Polvara
Toward End-To-End Control for UAV Autonomous Landing via Deep Reinforcement Learning
Related publications
End-To-End Driving in a Realistic Racing Game With Deep Reinforcement Learning
Reinforcement Learning-Based End-To-End Parking for Automatic Parking System
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Molecular Physics,
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Medicine
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End-To-End Robotic Reinforcement Learning Without Reward Engineering
An End-To-End Deep Neural Network for Autonomous Driving Designed for Embedded Automotive Platforms
Sensors
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Biochemistry
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Exploring End-To-End Deep Learning Applications for Event Classification at CMS
EPJ Web of Conferences
Astronomy
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LID-senone Extraction via Deep Neural Networks for End-To-End Language Identification
Deep-ACTINet: End-To-End Deep Learning Architecture for Automatic Sleep-Wake Detection Using Wrist Actigraphy
Electronics (Switzerland)
Control
Electronic Engineering
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End-To-End Learning for Graph Decomposition
Deep fMRI: AN End-To-End Deep Network for Classification of fMRI Data
