I’m a postdoctoral researcher at UCL’s Intelligent Systems Group, supervised by Prof. Massimiliano Pontil. I completed my Ph.D. in machine learning at Imperial College, supervised by Prof. Yiannis Demiris and Dr. Carlo Ciliberto. I was funded by Singapore National Science Scholarship.
My research focuses on human-centric machine learning. In particular, I work on imitation learning and meta-learning so that intelligent agents could learn from humans and adapt to different situations.
- Structured prediction for conditional meta-learning, R Wang, Y Demiris, C Ciliberto, NeurIPS 2020
- Random expert distillation: Imitation learning via expert policy support estimation, R Wang, C Ciliberto, P Amadori, Y Demiris, ICML 2019
- Support-weighted adversarial imitation learning, R Wang, C Ciliberto, P Amadori, Y Demiris, Neurips 2019 LIRE Workshop
- Real-time workload classification during driving using hypernetworks, R Wang, PV Amadori, Y Demiris, IROS 2018
- Multi-modal robot apprenticeship: imitation learning using linearly decayed dmp+ in a human-robot dialogue system, Y Wu, R Wang, LF D’Haro, RE Banchs, KP Tee, IROS 2018
- Magan: Margin adaptation for generative adversarial networks, R Wang, A Cully, HJ Chang, Y Demiris, arXiv preprint 2017
- Dynamic movement primitives plus: For enhanced reproduction quality and efficient trajectory modification using truncated kernels and local biases, R Wang, Y Wu, WL Chan, KP Tee, IROS 2016
- Human-robot partnership: A study on collaborative storytelling, CJ Wong, YL Tay, R Wang, Y Wu, HRI 2016