4.7 Article

Deep Reinforcement Learning for Autonomous Driving: A Survey

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Automation & Control Systems

Multi-objective multi-agent decision making: a utility-based analysis and survey

Roxana Radulescu et al.

AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS (2020)

Article Engineering, Civil

Distributed Multiagent Coordinated Learning for Autonomous Driving in Highways Based on Dynamic Coordination Graphs

Chao Yu et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2020)

Proceedings Paper Computer Science, Artificial Intelligence

Multi-Agent Connected Autonomous Driving using Deep Reinforcement Learning

Praveen Palanisamy

2020 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) (2020)

Article Robotics

VR-Goggles for Robots: Real-to-Sim Domain Adaptation for Visual Control

Jingwei Zhang et al.

IEEE ROBOTICS AND AUTOMATION LETTERS (2019)

Proceedings Paper Computer Science, Artificial Intelligence

Conditional Vehicle Trajectories Prediction in CARLA Urban Environment

Thibault Buhet et al.

2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW) (2019)

Proceedings Paper Computer Science, Artificial Intelligence

WoodScape: A multi-task, multi-camera fisheye dataset for autonomous driving

Senthil Yogamani et al.

2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019) (2019)

Proceedings Paper Automation & Control Systems

Learning to Drive in a Day

Alex Kendall et al.

2019 INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA) (2019)

Proceedings Paper Automation & Control Systems

Learning to Drive from Simulation without Real World Labels

Alex Bewley et al.

2019 INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA) (2019)

Review Computer Science, Artificial Intelligence

State representation learning for control: An overview

Timothee Lesort et al.

NEURAL NETWORKS (2018)

Article Multidisciplinary Sciences

Mastering the game of Go without human knowledge

David Silver et al.

NATURE (2017)

Article Computer Science, Artificial Intelligence

Policy invariance under reward transformations for multi-objective reinforcement learning

Patrick Mannion et al.

NEUROCOMPUTING (2017)

Article Multidisciplinary Sciences

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

David Silver et al.

NATURE (2016)

Article Computer Science, Artificial Intelligence

A Survey of Motion Planning and Control Techniques for Self-Driving Urban Vehicles

Brian Paden et al.

IEEE TRANSACTIONS ON INTELLIGENT VEHICLES (2016)

Article Multidisciplinary Sciences

Human-level control through deep reinforcement learning

Volodymyr Mnih et al.

NATURE (2015)

Proceedings Paper Computer Science, Artificial Intelligence

An Evolutionary Game Theoretic Analysis of Difference Evaluation Functions

Mitchell Colby et al.

GECCO'15: PROCEEDINGS OF THE 2015 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (2015)

Article Computer Science, Artificial Intelligence

A Survey of Multi-Objective Sequential Decision-Making

Diederik M. Roijers et al.

JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH (2013)

Article Engineering, Civil

A Multiple-Goal Reinforcement Learning Method for Complex Vehicle Overtaking Maneuvers

Daniel Chi Kit Ngai et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2011)

Article Automation & Control Systems

Real-Time Motion Planning With Applications to Autonomous Urban Driving

Yoshiaki Kuwata et al.

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY (2009)

Article Robotics

Randomized kinodynamic planning

SM LaValle et al.

INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH (2001)

Article Physics, Multidisciplinary

Collective intelligence for control of distributed dynamical systems

DH Wolpert et al.

EUROPHYSICS LETTERS (2000)