no code implementations • 26 Oct 2023 • Fengzhuo Zhang, Vincent Y. F. Tan, Zhaoran Wang, Zhuoran Yang
Second, using kernel embedding of distributions, we design efficient algorithms to estimate the transition kernels, reward functions, and graphons from sampled agents.
no code implementations • 30 May 2023 • Yufeng Zhang, Fengzhuo Zhang, Zhuoran Yang, Zhaoran Wang
(b) What is a proper performance metric for ICL and what is the error rate?
no code implementations • 20 Sep 2022 • Fengzhuo Zhang, Boyi Liu, Kaixin Wang, Vincent Y. F. Tan, Zhuoran Yang, Zhaoran Wang
The cooperative Multi-A gent R einforcement Learning (MARL) with permutation invariant agents framework has achieved tremendous empirical successes in real-world applications.
1 code implementation • 27 Oct 2021 • Fengzhuo Zhang, Anshoo Tandon, Vincent Y. F. Tan
We design and analyze an algorithm Active Learning Algorithm for Trees with Homogeneous Edge (Active-LATHE), which surprisingly boosts the error exponent by at least 40\% when $\rho$ is at least $0. 8$.
no code implementations • NeurIPS 2021 • Fengzhuo Zhang, Vincent Y. F. Tan
The optimalities of the robust version of CLRG and NJ are verified by comparing their sample complexities and the impossibility result.