News
One Paper Accepted to ICDM 2022
Sep 01, 2022
Our paper SparRL: Graph Sparsification via Deep Reinforcement Learning has been accepted to IEEE International Conference on Data Mining (ICDM), 2022. Congratulations to all the authors!
Sarker Joins Fluidic City Lab
Aug 22, 2022
Supriya Sarker is from central Bangladesh. She has worked on predictive analysis for intelligent transportation systems to ensure safe driving behaviors. Her research interests also include machine learning (reinforcement learning), data science, autonomous vehicles, and explainable AI. If you would like to know more about her projects, please find it here. Besides studying, She loves to read story books and watch movies.
One Paper Accepted to IROS 2022
Jun 29, 2022
Our paper Inverse Reinforcement Learning with Hybrid-weight Trust-region Optimization and Curriculum Learning for Autonomous Maneuvering has been accepted to IEEE/RSJ IROS, 2022. Congratulations to all the authors!
One Paper Accepted to ITSC 2022
Jun 16, 2022
Our paper Learning to Control DC Motor for Micromobility in Real Time with Reinforcement Learning has been accepted to IEEE Intelligent Transportation Systems Conference (ITSC), 2022. Congratulations to all the authors!
Academic Hardware Grant from NVIDIA
Mar 09, 2022
Our project “Towards Effective and Efficient City-scale Traffic Reconstruction” has received the academic hardware grant by NVIDIA. Thanks, NVIDIA!
Li Invited to Programme Committee of ICLR Workshop
Mar 03, 2022
Dr. Weizi Li is invited to serve in the programme committee of the ICLR Workshop “Generalizable Policy Learning in the Physical World.”
Project Awarded by National Science Foundation
Feb 24, 2022
We have been awarded a $175K grant from the National Science Foundation for our project “CRII: III: Towards Effective and Efficient City-scale Traffic Reconstruction.” More information can be found at the NSF award abstract site.