Tianyu Shi
M.Eng.
Google Scholar
Website
Tianyu received his bachelor degree in vehicle engineering from Beijing Institute of Technology. During his undergraduate study, he was a visiting student researcher at Berkeley Deep Drive, University of California Berkeley. Prior to joining McGill, he worked as research intern in L4 automated driving group at Momenta.ai. He also worked as research intern in based model group at Megvii Technology.
Research Interests
- Deep reinforcement learning
- Intelligent robotics
- Deep neural network
Selected Publications
- Shi T, Wang P, Cheng X, et al. Driving decision and control for autonomous lane change based on deep reinforcement learning[J]. arXiv preprint arXiv:1904.10171, 2019.