Jongeui Park

5 papers · 2021–2025 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird 🔥 Unstoppable · Bronze

Venues

ICML (2) NeurIPS (2) ICLR (1)

Top co-authors

Youngchul Sung (5) Myungsik Cho (3) Woojun Kim (2) Suyoung Lee (1) Yongjae Shin (1) Jeonghye Kim (1) Whiyoung Jung (1)

Research topics

Reinforcement Learning (4) Methods (4) Machine Learning (3) Artificial Intelligence (2) Core AI (2) Learning Types (2) Robotics (1) Application Areas (1) Applications · Robotics (1) Applications · Reinforcement Learning (1) Optimization & Theory (1)

Keywords

deep reinforcement learning (1) multi-agent reinforcement learning (1) sample efficiency (1) risk management (1) ensemble learning (1) policy gradient (1) attention mechanism (1) constrained reinforcement learning (1) trajectory prediction (1) distributional reinforcement learning (1) convergence (1) quantile optimization (1) safe reinforcement learning (1) simplicity bia (1) task scheduling (1) agent coordination (1) multi-task reinforcement learning (1) primacy bia (1) reward scaling (1) quantile constraint (1)

Papers

ARS: Adaptive Reward Scaling for Multi-Task Reinforcement Learning ICML 2025 Hard Tasks First: Multi-Task Reinforcement Learning Through Task Scheduling ICML 2024 Sample-Efficient and Safe Deep Reinforcement Learning via Reset Deep Ensemble Agents NeurIPS 2023 Quantile Constrained Reinforcement Learning: A Reinforcement Learning Framework Constraining Outage Probability NeurIPS 2022 Communication in Multi-Agent Reinforcement Learning: Intention Sharing ICLR 2021