Seungyong Moon

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 12

Top Topics

Reinforcement Learning

Blind Watermarking

Function Approximators

Top Venues

Publications

Seungyong Moon, Junyoung Yeom, Bumsoo Park, Hyun Oh Song
Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning. NeurIPS (2023)
Seungyong Moon, Junyoung Yeom, Bumsoo Park, Hyun Oh Song
Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning. CoRR (2023)
Deokjae Lee, Seungyong Moon, Junhyeok Lee, Hyun Oh Song
Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization. ICML (2022)
Seungyong Moon, Gaon An, Hyun Oh Song
Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks. AAAI (2022)
Seungyong Moon, JunYeong Lee, Hyun Oh Song
Rethinking Value Function Learning for Generalization in Reinforcement Learning. CoRR (2022)
Seungyong Moon, JunYeong Lee, Hyun Oh Song
Rethinking Value Function Learning for Generalization in Reinforcement Learning. NeurIPS (2022)
Deokjae Lee, Seungyong Moon, Junhyeok Lee, Hyun Oh Song
Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization. CoRR (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)