MyungJae Shin | DeepAI

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Mehdi Bennis
180 publications
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Jihong Park
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Soyi Jung
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Seong-Lyun Kim
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Soohyun Park
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Chihoon Hwang
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∙ 01/15/2022

Cooperative Multi-Agent Deep Reinforcement Learning for Reliable Surveillance via Autonomous Multi-UAV Control

CCTV-based surveillance using unmanned aerial vehicles (UAVs) is conside...

0 Won Joon Yun, et al. ∙

∙ 12/26/2021

Parallelized and Randomized Adversarial Imitation Learning for Safety-Critical Self-Driving Vehicles

Self-driving cars and autonomous driving research has been receiving con...

6 Won Joon Yun, et al. ∙

∙ 09/11/2021

Adversarial Imitation Learning via Random Search in Lane Change Decision-Making

As the advanced driver assistance system (ADAS) functions become more so...

0 MyungJae Shin, et al. ∙

∙ 08/21/2020

Adversarial Imitation Learning via Random Search

Developing agents that can perform challenging complex tasks is the goal...

0 MyungJae Shin, et al. ∙

∙ 06/09/2020

XOR Mixup: Privacy-Preserving Data Augmentation for One-Shot Federated Learning

User-generated data distributions are often imbalanced across devices an...

0 MyungJae Shin, et al. ∙

∙ 01/09/2020

Auction-based Charging Scheduling with Deep Learning Framework for Multi-Drone Networks

State-of-the-art drone technologies have severe flight time limitations ...

0 MyungJae Shin, et al. ∙

∙ 05/13/2019

Randomized Adversarial Imitation Learning for Autonomous Driving

With the evolution of various advanced driver assistance system (ADAS) p...

0 MyungJae Shin, et al. ∙

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