A Fast Integrated Planning and Control Framework for Autonomous Driving via Imitation Learning
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving
Constrained iterative LQR for on-road autonomous driving motion planning
Feature analysis and selection for training an end-to-end autonomous vehicle controller using deep learning approach
Spatially-partitioned environmental representation and planning architecture for on-road autonomous driving
Learning Agents for Uncertain Environments (Extended Abstract)