Social interactions for autonomous driving: A review and perspectives
No human drives a car in a vacuum; she/he must negotiate with other road users to achieve
their goals in social traffic scenes. A rational human driver can interact with other road users …
their goals in social traffic scenes. A rational human driver can interact with other road users …
A survey on imitation learning techniques for end-to-end autonomous vehicles
The state-of-the-art decision and planning approaches for autonomous vehicles have
moved away from manually designed systems, instead focusing on the utilisation of large …
moved away from manually designed systems, instead focusing on the utilisation of large …
A tour of reinforcement learning: The view from continuous control
B Recht - Annual Review of Control, Robotics, and Autonomous …, 2019 - annualreviews.org
This article surveys reinforcement learning from the perspective of optimization and control,
with a focus on continuous control applications. It reviews the general formulation …
with a focus on continuous control applications. It reviews the general formulation …
Planning and decision-making for autonomous vehicles
W Schwarting, J Alonso-Mora… - Annual Review of Control …, 2018 - annualreviews.org
In this review, we provide an overview of emerging trends and challenges in the field of
intelligent and autonomous, or self-driving, vehicles. Recent advances in the field of …
intelligent and autonomous, or self-driving, vehicles. Recent advances in the field of …
On the utility of learning about humans for human-ai coordination
While we would like agents that can coordinate with humans, current algorithms such as self-
play and population-based training create agents that can coordinate with themselves …
play and population-based training create agents that can coordinate with themselves …
Social behavior for autonomous vehicles
W Schwarting, A Pierson… - Proceedings of the …, 2019 - National Acad Sciences
Deployment of autonomous vehicles on public roads promises increased efficiency and
safety. It requires understanding the intent of human drivers and adapting to their driving …
safety. It requires understanding the intent of human drivers and adapting to their driving …
A survey on autonomous vehicle control in the era of mixed-autonomy: From physics-based to AI-guided driving policy learning
This paper serves as an introduction and overview of the potentially useful models and
methodologies from artificial intelligence (AI) into the field of transportation engineering for …
methodologies from artificial intelligence (AI) into the field of transportation engineering for …
Imitating driver behavior with generative adversarial networks
The ability to accurately predict and simulate human driving behavior is critical for the
development of intelligent transportation systems. Traditional modeling methods have …
development of intelligent transportation systems. Traditional modeling methods have …
[图书][B] Active preference-based learning of reward functions
Our goal is to efficiently learn reward functions encoding a human's preferences for how a
dynamical system should act. There are two challenges with this. First, in many problems it is …
dynamical system should act. There are two challenges with this. First, in many problems it is …
Verification and validation methods for decision-making and planning of automated vehicles: A review
Verification and validation (V&V) hold a significant position in the research and development
of automated vehicles (AVs). Current literature indicates that different V&V techniques have …
of automated vehicles (AVs). Current literature indicates that different V&V techniques have …