Seungyong Moon

According to our database, Seungyong Moon authored at least 6 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning.

Seungyong Moon, Junyoung Yeom, Bumsoo Park, Hyun Oh Song

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Rethinking Value Function Learning for Generalization in Reinforcement Learning.

Seungyong Moon, JunYeong Lee, Hyun Oh Song

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Proceedings of the International Conference on Machine Learning, 2022

Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks.

Seungyong Moon, Gaon An, Hyun Oh Song

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble.

Gaon An, Seungyong Moon, Jang-Hyun Kim, Hyun Oh Song

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization.

Seungyong Moon, Gaon An, Hyun Oh Song

Proceedings of the 36th International Conference on Machine Learning, 2019