Sunghoon Hong
10 papers · 2018–2026 · 4 venues · across top CS/AI venues
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Research topics
Reinforcement Learning
(6)
Methods
(6)
Machine Learning
(4)
Artificial Intelligence
(3)
Computer Vision
(3)
Analysis
(3)
Deep Learning
(2)
Application Areas
(2)
Core AI
(2)
Learning Paradigms
(2)
Applications
(1)
Architectures
(1)
Core Methods
(1)
Learning Types Β· Deep Learning
(1)
Learning Types Β· Machine Learning
(1)
Keywords
reinforcement learning
(3)
object pose estimation
(2)
convolutional neural network
(2)
multi-task learning
(1)
depth estimation
(1)
3d vision
(1)
domain adaptation
(1)
policy learning
(1)
neural architecture
(1)
distribution shift
(1)
off-policy learning
(1)
value estimation
(1)
macro-actions
(1)
synthetic data
(1)
convolutional network
(1)
feature embedding
(1)
transformer policy
(1)
transfer learning
(1)
layer normalization
(1)
continual learning
(1)
Papers
RAPID: A Rapid Prototyping Platform for Industrial Automation
AAAI 2026
RL-Studio: A System for Multi-Phase Reinforcement Learning Experimentation
AAAI 2026
Agent-Centric Actor-Critic for Asynchronous Multi-Agent Reinforcement Learning
ICML 2025
Online Pre-Training for Offline-to-Online Reinforcement Learning
ICML 2025
Penalizing Infeasible Actions and Reward Scaling in Reinforcement Learning with Offline Data
ICML 2025
Structure-Aware Transformer Policy for Inhomogeneous Multi-Task Reinforcement Learning
ICLR 2022
Winning the L2RPN Challenge: Power Grid Management via Semi-Markov Afterstate Actor-Critic
ICLR 2021
Synthetic Depth Transfer for Monocular 3D Object Pose Estimation in the Wild
AAAI 2020
An Appearance-and-Structure Fusion Network for Object Viewpoint Estimation
IJCAI 2018
HCR-Net: A Hybrid of Classification and Regression Network for Object Pose Estimation
IJCAI 2018