Moon, Seungyong

7 publications

NeurIPS 2025 Learning to Better Search with Language Models via Guided Reinforced Self-Training Seungyong Moon, Bumsoo Park, Hyun Oh Song

NeurIPS 2023 Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning Seungyong Moon, Junyoung Yeom, Bumsoo Park, Hyun Oh Song

AAAI 2022 Preemptive Image Robustification for Protecting Users Against Man-in-the-Middle Adversarial Attacks Seungyong Moon, Gaon An, Hyun Oh Song

ICML 2022 Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization Deokjae Lee, Seungyong Moon, Junhyeok Lee, Hyun Oh Song

NeurIPS 2022 Rethinking Value Function Learning for Generalization in Reinforcement Learning Seungyong Moon, JunYeong Lee, Hyun Oh Song

NeurIPS 2021 Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble Gaon An, Seungyong Moon, Jang-Hyun Kim, Hyun Oh Song

ICML 2019 Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization Seungyong Moon, Gaon An, Hyun Oh Song