34 citations · 40 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 1 cited
Towards Trustworthy Multi-label Sewer Defect Classification via Evidential Deep Learning
Chenyang Zhao, Chuanfei Hu, Hang Shao +2
An automatic vision-based sewer inspection plays a key role of sewage system in a modern city. Recent advances focus on utilizing deep learning model to realize the sewer inspectio…
cs.LG2020★ 5 cited
Robust Domain Randomised Reinforcement Learning through Peer-to-Peer Distillation
Chenyang Zhao, Timothy Hospedales
In reinforcement learning, domain randomisation is an increasingly popular technique for learning more general policies that are robust to domain-shifts at deployment. However, nai…
cs.LG2019★ 34 cited
Investigating Generalisation in Continuous Deep Reinforcement Learning
Chenyang Zhao, Olivier Sigaud, Freek Stulp +1
Deep Reinforcement Learning has shown great success in a variety of control tasks. However, it is unclear how close we are to the vision of putting Deep RL into practice to solve r…