Chengzhuo Ni

According to our database, Chengzhuo Ni authored at least 13 papers between 2019 and 2024.

Collaborative distances:

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

2024

Diffusion Model for Data-Driven Black-Box Optimization.

Zihao Li, Hui Yuan, Kaixuan Huang, Chengzhuo Ni, Yinyu Ye, Minshuo Chen, Mengdi Wang

CoRR, 2024

2023

Learning Good State and Action Representations for Markov Decision Process via Tensor Decomposition.

Chengzhuo Ni, Yaqi Duan, Munther A. Dahleh, Mengdi Wang, Anru R. Zhang

J. Mach. Learn. Res., 2023

Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement.

Hui Yuan, Kaixuan Huang, Chengzhuo Ni, Minshuo Chen, Mengdi Wang

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

Representation Learning for Low-rank General-sum Markov Games.

Chengzhuo Ni, Yuda Song, Xuezhou Zhang, Zihan Ding, Chi Jin, Mengdi Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Representation Learning for General-sum Low-rank Markov Games.

Chengzhuo Ni, Yuda Song, Xuezhou Zhang, Chi Jin, Mengdi Wang

CoRR, 2022

Optimal Estimation of Off-Policy Policy Gradient via Double Fitted Iteration.

Chengzhuo Ni, Ruiqi Zhang, Xiang Ji, Xuezhou Zhang, Mengdi Wang

CoRR, 2022

Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization.

Hui Yuan, Chengzhuo Ni, Huazheng Wang, Xuezhou Zhang, Le Cong, Csaba Szepesvári, Mengdi Wang

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

Off-Policy Fitted Q-Evaluation with Differentiable Function Approximators: Z-Estimation and Inference Theory.

Ruiqi Zhang, Xuezhou Zhang, Chengzhuo Ni, Mengdi Wang

Proceedings of the International Conference on Machine Learning, 2022

Optimal Estimation of Policy Gradient via Double Fitted Iteration.

Chengzhuo Ni, Ruiqi Zhang, Xiang Ji, Xuezhou Zhang, Mengdi Wang

Proceedings of the International Conference on Machine Learning, 2022

2021

On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method.

Junyu Zhang, Chengzhuo Ni, Zheng Yu, Csaba Szepesvári, Mengdi Wang

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

Learning Good State and Action Representations via Tensor Decomposition.

Chengzhuo Ni, Anru R. Zhang, Yaqi Duan, Mengdi Wang

Proceedings of the IEEE International Symposium on Information Theory, 2021

2019

Maximum Likelihood Tensor Decomposition of Markov Decision Process.

Chengzhuo Ni, Mengdi Wang

Proceedings of the IEEE International Symposium on Information Theory, 2019

Learning to Control in Metric Space with Optimal Regret.

Chengzhuo Ni, Lin F. Yang, Mengdi Wang

Proceedings of the 57th Annual Allerton Conference on Communication, 2019