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Modified Structured Domain Randomization in a Synthetic Environment for Learning Algorithms.
2022Deep Reinforcement Learning (DRL) has the capability to solve many complex tasks in robotics, self-driving cars, smart grids, finance, healthcare, and intelligent autonomous systems. During training, DRL agents interact freely with the environment to arrive at an inference model. Under real-world conditions this training creates difficulties of safety,
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Aircrew Emergency Decisions: Analysis of Cue Factors for USE IN Synthetic Learning Environments.
1980Abstract : This report describes the second year activities of a program of research and development to enhance pilot and aircrew emergency decision skills. Major objectives of the work carried out were to: extend theoretical models developed earlier, to carry out four experimental studies which would yield basic pilot judgment data for cognitive and ...
Amos Freedy +3 more
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VideoLogo--synthetic movies in a learning environment
1990Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Architecture, 1990. ; Title as it appears in the June, 1991 M.I.T. Graduate List: Video logo--synthetic movies in a learning environment. ; Includes bibliographical references (leaves 106-109). ; by Alexander Benenson. ; M.S.
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A Synthetic Dataset for Learning Optical Flow in Underwater Environment
2023Ferone A. +4 more
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Synthetic Image Generator for Testing and Training Environments: A Deep Learning Survey
2023 International Conference on Sustainable Communication Networks and Application (ICSCNA), 2023Venkateswara Reddy. P, P. Sarasu
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Presentation: Synthetic Educators: Analyzing AI-Driven Avatars in Digital Learning Environments
Slides from the presentation of our paper at 27th International Conference on Human-Computer Interaction, Gothenburg, Sweden Synthetic Educators: Analyzing AI-Driven Avatars in Digital Learning Environments Proceedings available at Learning and Collaboration Technologies. HCII 2025. Lecture Notes in Computer Science, vol 15807. Springer, Cham.Struger, Patrick +2 more
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Synthetic Data Generator for an E-Learning Platform in a Big Data Environment
2023Yaneth Moreno +3 more
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Synthetic Data for Deep Learning
Springer Optimization and Its Applications, 2021Sergey Nikolenko
exaly

