Gaon An

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 10

Top Topics

Reinforcement Learning

Temporal Difference Learning

Blind Watermarking

Top Venues

Publications

Gaon An, Junhyeok Lee, Xingdong Zuo, Norio Kosaka, Kyung-Min Kim, Hyun Oh Song
Direct Preference-based Policy Optimization without Reward Modeling. NeurIPS (2023)
Gaon An, Junhyeok Lee, Xingdong Zuo, Norio Kosaka, Kyung-Min Kim, Hyun Oh Song
Designing an offline reinforcement learning objective from scratch. CoRR (2023)
Seungyong Moon, Gaon An, Hyun Oh Song
Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks. AAAI (2022)
Yeonwoo Jeong, Deokjae Lee, Gaon An, Changyong Son, Hyun Oh Song
Optimal channel selection with discrete QCQP. CoRR (2022)
Yeonwoo Jeong, Deokjae Lee, Gaon An, Changyong Son, Hyun Oh Song
Optimal channel selection with discrete QCQP. AISTATS (2022)
Gaon An, Seungyong Moon, Jang-Hyun Kim, Hyun Oh Song
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble. NeurIPS (2021)
Seungyong Moon, Gaon An, Hyun Oh Song
Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks. CoRR (2021)
Gaon An, Seungyong Moon, Jang-Hyun Kim, Hyun Oh Song
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble. CoRR (2021)
Seungyong Moon, Gaon An, Hyun Oh Song
Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization. ICML (2019)
Seungyong Moon, Gaon An, Hyun Oh Song
Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization. CoRR (2019)