TorchOpt and papers are accepted to NeurIPS 2022

Our paper “A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning” is accepted by NeurIPS 2022. This paper is based on our recently released system for differential optimisation: TorchOpt. TorchOpt is accepted as a paper by the 14th International Workshop for Optimization for Machine Learning (OPT) co-located with NeurIPS 2022.

Luo Mai
Luo Mai
Assistant Professor

My research interests include distributed systems, machine learning, data management and quantum computing.