Ruiqi Zhang

Residual Policy Learning Facilitates Efficient Model-Free Autonomous Racing

Jianxiao Chen, Guang Chen, Alois Knoll, 2022, IEEE Robotics and Automation Letters.

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

Mengdi Wang, Xiang Ji, Xuezhou Zhang, 2022, ArXiv.

PIPO: Policy Optimization with Permutation-Invariant Constraint for Distributed Multi-Robot Navigation

Guang Chen, Zhijun Li, Ruiqi Zhang, 2022, 2022 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

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

Mengdi Wang, Xuezhou Zhang, Chengzhuo Ni, 2022, ICML.

Policy Finetuning in Reinforcement Learning via Design of Experiments using Offline Data

A. Zanette, Ruiqi Zhang, 2023, ArXiv.

Optimal Estimation of Policy Gradient via Double Fitted Iteration

Mengdi Wang, Xiang Ji, Xuezhou Zhang, 2022, ICML.

Trained Transformers Learn Linear Models In-Context

P. Bartlett, Spencer Frei, Ruiqi Zhang, 2023, ArXiv.

Trained Transformers Learn Linear Models In-Context

P. Bartlett, Spencer Frei, Ruiqi Zhang, 2023, ArXiv.

Trained Transformers Learn Linear Models In-Context

P. Bartlett, Spencer Frei, Ruiqi Zhang, 2023, ArXiv.