Zishun Yu

According to our database, Zishun Yu authored at least 9 papers between 2022 and 2024.

Collaborative distances:

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

2024

Towards Efficient Collaboration via Graph Modeling in Reinforcement Learning.

Wenzhe Fan, Zishun Yu, Chengdong Ma, Changye Li, Yaodong Yang, Xinhua Zhang

CoRR, 2024

B-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis.

Zishun Yu, Yunzhe Tao, Liyu Chen, Tao Sun, Hongxia Yang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Slowly Changing Adversarial Bandit Algorithms are Efficient for Discounted MDPs.

Ian A. Kash, Lev Reyzin, Zishun Yu

Proceedings of the International Conference on Algorithmic Learning Theory, 2024

2023

B-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis.

Zishun Yu, Yunzhe Tao, Liyu Chen, Tao Sun, Hongxia Yang

CoRR, 2023

Actor-Critic Alignment for Offline-to-Online Reinforcement Learning.

Zishun Yu, Xinhua Zhang

Proceedings of the International Conference on Machine Learning, 2023

2022

Deep Reinforcement Learning With Graph Representation for Vehicle Repositioning.

Zishun Yu, Mengqi Hu

IEEE Trans. Intell. Transp. Syst., 2022

Slowly Changing Adversarial Bandit Algorithms are Provably Efficient for Discounted MDPs.

Ian A. Kash, Lev Reyzin, Zishun Yu

CoRR, 2022

Orthogonal Gromov-Wasserstein discrepancy with efficient lower bound.

Hongwei Jin, Zishun Yu, Xinhua Zhang

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Certifying Robust Graph Classification under Orthogonal Gromov-Wasserstein Threats.

Hongwei Jin, Zishun Yu, Xinhua Zhang

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