Hierarchical reinforcement learning for self-driving decision-making without reliance on labelled driving data

A geometry-driven car-following distance estimation algorithm robust to road slopes

(2019) Zhong Cao et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Mastering the game of Go without human knowledge

(2017) David Silver et al.   NATURE

Estimation of driving style in naturalistic highway traffic using maneuver transition probabilities

(2017) Guofa Li et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Detection of Driver Cognitive Distraction: A Comparison Study of Stop-Controlled Intersection and Speed-Limited Highway

(2016) Yuan Liao et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Mastering the game of Go with deep neural networks and tree search

(2016) David Silver et al.   NATURE

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

Deep learning

(2015) Yann LeCun et al.   NATURE

Real-time motion planning methods for autonomous on-road driving: State-of-the-art and future research directions

(2015) Christos Katrakazas et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Enabling Safe Autonomous Driving in Real-World City Traffic Using Multiple Criteria Decision Making

(2011) Andrei Furda et al.   IEEE Intelligent Transportation Systems Magazine

Maneuver-Based Trajectory Planning for Highly Autonomous Vehicles on Real Road With Traffic and Driver Interaction

(2010) Sébastien Glaser et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Natural actor–critic algorithms

(2009) Shalabh Bhatnagar et al.   AUTOMATICA

Junior: The Stanford entry in the Urban Challenge

(2008) Michael Montemerlo et al.   Journal of Field Robotics