Kyushik Min

Orcid: 0000-0002-8506-1077

According to our database1, Kyushik Min authored at least 13 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Evaluation Strategy of Time-series Anomaly Detection with Decay Function.
CoRR, 2023

Learning to Discover Skills through Guidance.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
JORLDY: a fully customizable open source framework for reinforcement learning.
CoRR, 2022

Towards Validating Long-Term User Feedbacks in Interactive Recommendation Systems.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021
Anomaly Monitoring Framework in Lane Detection With a Generative Adversarial Network.
IEEE Trans. Intell. Transp. Syst., 2021

2020
Interaction Aware Trajectory Prediction of Surrounding Vehicles with Interaction Network and Deep Ensemble.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

2019
RNN-Based Path Prediction of Obstacle Vehicles With Deep Ensemble.
IEEE Trans. Veh. Technol., 2019

Deep Distributional Reinforcement Learning Based High-Level Driving Policy Determination.
IEEE Trans. Intell. Veh., 2019

Multi-Agent Deep Reinforcement Learning for Cooperative Driving in Crowded Traffic Scenarios.
Proceedings of the 2019 International Symposium on Intelligent Signal Processing and Communication Systems, 2019

Action Conditioned Response Prediction with Uncertainty for Automated Vehicles.
Proceedings of the 2019 International Symposium on Intelligent Signal Processing and Communication Systems, 2019

2018
Road Surface Classification Using a Deep Ensemble Network with Sensor Feature Selection.
Sensors, 2018

Deep Q Learning Based High Level Driving Policy Determination.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Estimating the Maximum Road Friction Coefficient with Uncertainty Using Deep Learning.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018


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