Jae-Yun Jun

11 papers A 2Journal 4Unranked 5
YearRankTypeTitle / Venue / Authors
2025 A conf
Towards Language-Augmented Multi-Agent Deep Reinforcement Learning.
ECAI
Maxime Toquebiau, Jae-Yun Jun, Faïz Ben Amar, Nicolas Bredèche
2025 J jnl
Towards Language-Augmented Multi-Agent Deep Reinforcement Learning.
CoRR
Maxime Toquebiau, Jae-Yun Jun, Faïz BenAmar, Nicolas Bredèche
2024 A conf
Joint Intrinsic Motivation for Coordinated Exploration in Multi-Agent Deep Reinforcement Learning.
AAMAS
Maxime Toquebiau, Nicolas Bredèche, Faïz Ben Amar, Jae-Yun Jun
2024 J jnl
Joint Intrinsic Motivation for Coordinated Exploration in Multi-Agent Deep Reinforcement Learning.
CoRR
Maxime Toquebiau, Nicolas Bredèche, Faïz BenAmar, Jae-Yun Jun
2023 J jnl
A Multi-Agent Intrusion Detection System Optimized by a Deep Reinforcement Learning Approach with a Dataset Enlarged Using a Generative Model to Reduce the Bias Effect.
J. Sens. Actuator Networks
Matthieu Mouyart, Guilherme Medeiros Machado, Jae-Yun Jun
2023 — conf
In Search of Distance Functions That Improve Autoencoder Performance for Intrusion Detection.
ICUFN
Rémi Bouchayer, Jae-Yun Jun, Hakima Chaouchi, Philippe Millet
2022 — conf
End-to-end autonomous driving using the Ape-X algorithm in Carla simulation environment.
ICUFN
Maxence Hussonnois, Jae-Yun Jun
2021 — conf
V2X Architecture for Autonomous Platoon Management In Urban Environment.
CITS
Naila Bouchemal, Jae-Yun Jun
2020 — conf
Hedging option contracts with locally weighted regression, functional data analysis, and Markov chain Monte Carlo techniques.
ICAIIC
Jae-Yun Jun, Yves Rakotondratsimba
2016 J jnl
Pose estimation-based path planning for a tracked mobile robot traversing uneven terrains.
Robotics Auton. Syst.
Jae-Yun Jun, Jean-Philippe Saut, Faïz BenAmar
2015 — conf
Stability-based planning and trajectory tracking of a mobile manipulator over uneven terrains.
ARSO
Jae-Yun Jun, Vincent Padois, Faïz BenAmar