Ho Suk

Ho Suk

Yonsei University

H-index: 4

Asia-South Korea

About Ho Suk

Ho Suk, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at Yonsei University, specializes in the field of Autonomous Driving, Reinforcement Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Addressing uncertainty challenges for autonomous driving in real-world environments

Offline reinforcement learning methods for real-world problems

Hardware Accelerators for Autonomous Vehicles

Learning unsupervised disentangled skill latents to adapt unseen task and morphological modifications

Rationale-aware Autonomous Driving Policy utilizing Safety Force Field implemented on CARLA Simulator

OODA-RL: A reinforcement learning framework for artificial general intelligence to solve open world novelty

An open-world novelty generator for authoring reinforcement learning environment of standardized toolkits

C-ITS 기반 자율주행자동차를 활용한 승객 중심의 온-디맨드 운송 서비스

Ho Suk Information

University

Position

School of Integrated Technology Korea

Citations(all)

78

Citations(since 2020)

78

Cited By

6

hIndex(all)

4

hIndex(since 2020)

4

i10Index(all)

1

i10Index(since 2020)

1

Email

University Profile Page

Google Scholar

Ho Suk Skills & Research Interests

Autonomous Driving

Reinforcement Learning

Top articles of Ho Suk

Title

Journal

Author(s)

Publication Date

Addressing uncertainty challenges for autonomous driving in real-world environments

Advances in Computers

Ho Suk

Yerin Lee

Taewoo Kim

Shiho Kim

2023/7/25

Offline reinforcement learning methods for real-world problems

Taewoo Kim

Ho Suk

Shiho Kim

2023/5/8

Hardware Accelerators for Autonomous Vehicles

Junekyo Jhung

Ho Suk

Hyungbin Park

Shiho Kim

2023/3/16

Learning unsupervised disentangled skill latents to adapt unseen task and morphological modifications

Engineering Applications of Artificial Intelligence

Taewoo Kim

Pamul Yadav

Ho Suk

Shiho Kim

2022/11/1

Rationale-aware Autonomous Driving Policy utilizing Safety Force Field implemented on CARLA Simulator

Ho Suk

Taewoo Kim

Hyungbin Park

Pamul Yadav

Junyong Lee

...

2022/11

OODA-RL: A reinforcement learning framework for artificial general intelligence to solve open world novelty

Pamul Yadav

Taewoo Kim

Ho Suk

Junyong Lee

Hyeonseong Jeong

...

2021/12/28

An open-world novelty generator for authoring reinforcement learning environment of standardized toolkits

Sangho Lee

Junbeom Park

Ho Suk

Taewoo Kim

Pamul Yadav

...

2021/6/27

C-ITS 기반 자율주행자동차를 활용한 승객 중심의 온-디맨드 운송 서비스

석호, 김태우, 박형빈, 정준교, 차재광, 김시호

2021/6

See List of Professors in Ho Suk University(Yonsei University)