About
I am Haozhe Tian, a research postgraduate at the Dyson School of Design Engineering, Imperial College London, UK. I hold an MSc (Distinction) in Communications and Signal Processing from Imperial College London, and a BEng in pattern recognition and control from Beihang University, China. You can view my CV here.
My current research interests are:
- Safe Reinforcement Learning (RL)
- Model Predictive Control (MPC)
- Biomedical signal processing (EEG, ECG, PPG)
Personal
RL learning to drive by "looking" at the track and merely receiving a score (no access to the "correct" way of driving).
Photography | Powerlifting
Q-Learning and DQN: A playful dive into the world of RL
Causal Inference: Causal Inference: a Tutorial
Safe RL: Github Repo for PPO-Lagrangian
Awards
- China National Scholarship ————(Highest prize for Chinses university students, top 0.2%)
- 3 times Beihang academic excellence award ————(awarded to the top 5% of students annually)
- Outstanding Graduate of Beihang University ————(awarded to the top 10% of graduates)
- The Ivor Tupper Prize for Excellence in Signal Processing, Broadcast and Video Technology ————(awarded to 1 in the MSc cohort)