Taeyoung Yun

According to our database, Taeyoung Yun authored at least 8 papers between 2023 and 2024.

Collaborative distances:

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

2024

Improved Off-policy Reinforcement Learning in Biological Sequence Design.

Hyeonah Kim, Minsu Kim, Taeyoung Yun, Sanghyeok Choi, Emmanuel Bengio, Alex Hernández-García, Jinkyoo Park

CoRR, 2024

Adaptive teachers for amortized samplers.

Minsu Kim, Sanghyeok Choi, Taeyoung Yun, Emmanuel Bengio, Leo Feng, Jarrid Rector-Brooks, Sungsoo Ahn, Jinkyoo Park, Nikolay Malkin, Yoshua Bengio

CoRR, 2024

Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization.

Taeyoung Yun, Sujin Yun, Jaewoo Lee, Jinkyoo Park

CoRR, 2024

GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning.

Jaewoo Lee, Sujin Yun, Taeyoung Yun, Jinkyoo Park

CoRR, 2024

An Offline Meta Black-box Optimization Framework for Adaptive Design of Urban Traffic Light Management Systems.

Taeyoung Yun, Kanghoon Lee, Sujin Yun, Ilmyung Kim, Won-Woo Jung, Min-Cheol Kwon, Kyujin Choi, Yoohyeon Lee, Jinkyoo Park

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Learning to Scale Logits for Temperature-Conditional GFlowNets.

Minsu Kim, Joohwan Ko, Taeyoung Yun, Dinghuai Zhang, Ling Pan, Woochang Kim, Jinkyoo Park, Emmanuel Bengio, Yoshua Bengio

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Local Search GFlowNets.

Minsu Kim, Taeyoung Yun, Emmanuel Bengio, Dinghuai Zhang, Yoshua Bengio, Sungsoo Ahn, Jinkyoo Park

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Learning to Scale Logits for Temperature-Conditional GFlowNets.

Minsu Kim, Joohwan Ko, Dinghuai Zhang, Ling Pan, Taeyoung Yun, Woochang Kim, Jinkyoo Park, Yoshua Bengio

CoRR, 2023