activity
20192022
most citedCooperative Multi-Agent Deep Reinforcement Learning for Reliable Surveillance via Autonomous Multi-UAV Control

249 citations · 440 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SY2022★ 249 cited

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

Won Joon Yun, Soohyun Park, Joongheon Kim +4

CCTV-based surveillance using unmanned aerial vehicles (UAVs) is considered a key technology for security in smart city environments. This paper creates a case where the UAVs with…

cs.RO2021

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

Won Joon Yun, MyungJae Shin, Soyi Jung +2

Self-driving cars and autonomous driving research has been receiving considerable attention as major promising prospects in modern artificial intelligence applications. According t…

cs.RO2021★ 3 cited

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

Myungjae Shin, Joongheon Kim

As the advanced driver assistance system (ADAS) functions become more sophisticated, the strategies that properly coordinate interaction and communication among the ADAS functions…

cs.LG2020★ 11 cited

Adversarial Imitation Learning via Random Search

MyungJae Shin, Joongheon Kim

Developing agents that can perform challenging complex tasks is the goal of reinforcement learning. The model-free reinforcement learning has been considered as a feasible solution…

cs.LG2020★ 57 cited

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

MyungJae Shin, Chihoon Hwang, Joongheon Kim +3

User-generated data distributions are often imbalanced across devices and labels, hampering the performance of federated learning (FL). To remedy to this non-independent and identi…

cs.GT2020★ 118 cited

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

MyungJae Shin, Joongheon Kim, Marco Levorato

State-of-the-art drone technologies have severe flight time limitations due to weight constraints, which inevitably lead to a relatively small amount of available energy. Therefore…

cs.RO2019★ 2 cited

Randomized Adversarial Imitation Learning for Autonomous Driving

MyungJae Shin, Joongheon Kim

With the evolution of various advanced driver assistance system (ADAS) platforms, the design of autonomous driving system is becoming more complex and safety-critical. The autonomo…