Richard Shen — accepted AI-conference papers

2020

Urban Driving with Conditional Imitation Learning

Jeffrey Hawke, Richard Shen, Corina Gurau, Siddharth Sharma, Daniele Reda, Nikolay Nikolov +5

ICRA 2020poster

Hand-crafting generalised decision-making rules for real-world urban autonomous driving is hard. Alternatively, learning behaviour from easy-to-collect human driving demonstrations is appealing. Prior work has studied imitation learning (IL) for autonomous driving with a number of limitations. Examp…

Cited by 198 Source ↗Scholar ↗

2019

Learning to Drive from Simulation without Real World Labels

Alex Bewley, Jessica Rigley, Yuxuan Liu, Jeffrey Hawke, Richard Shen, Vinh-Dieu Lam +1

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 146 Source ↗Scholar ↗