← Search

Vinh-Dieu Lam

2 accepted papers

2019

Learning to Drive from Simulation without Real World Labels

ICRA 2019poster

Simulation can be a powerful tool for under-standing machine learning systems and designing methods to solve real-world problems. Training and evaluating methods purely in simulation is often “doomed to succeed” at the desired task in a simulated environment, but the resulting models are incapable o…

Cited by 146SourceScholar
2019

Learning to Drive in a Day

ICRA 2019poster

We demonstrate the first application of deep reinforcement learning to autonomous driving. From randomly initialised parameters, our model is able to learn a policy for lane following in a handful of training episodes using a single monocular image as input. We provide a general and easy to obtain r…

Cited by 956SourceScholar