Learning hierarchical behavior and motion planning for autonomous driving

Type: Preprint

Publication Date: 2020-01-01

Citations: 4

DOI: https://doi.org/10.48550/arxiv.2005.03863

Locations

  • arXiv (Cornell University) - View
  • DataCite API - View

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Works Cited by This (21)

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+ End to End Learning for Self-Driving Cars 2016 Mariusz Bojarski
Davide Del Testa
Daniel Dworakowski
Bernhard Firner
Beat Flepp
Prasoon Goyal
Lawrence D. Jackel
Mathew Monfort
Urs Müller
Jiakai Zhang
+ PDF Chat A Survey of Motion Planning and Control Techniques for Self-Driving Urban Vehicles 2016 B. Paden
Michal Čáp
Sze Zheng Yong
Dmitry Yershov
Emilio Frazzoli
+ Playing Atari Games with Deep Reinforcement Learning and Human Checkpoint Replay 2016 Ionel-Alexandru Hosu
Traian Rebedea
+ Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving 2016 Shai Shalev‐Shwartz
Shaked Shammah
Amnon Shashua
+ End-to-End Deep Reinforcement Learning for Lane Keeping Assist 2016 Ahmad El Sallab
Mohammed Abdou
Etienne Pérot
Senthil Yogamani
+ Proximal Policy Optimization Algorithms 2017 John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
+ CARLA: An Open Urban Driving Simulator 2017 Alexey Dosovitskiy
Germán Ros
Felipe Codevilla
Antonio M. López
Vladlen Koltun
+ Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm 2017 David Silver
Thomas Hubert
Julian Schrittwieser
Ioannis Antonoglou
Matthew Lai
Arthur Guez
Marc Lanctot
Laurent Sifre
Dharshan Kumaran
Thore Graepel
+ Elements of Effective Deep Reinforcement Learning towards Tactical Driving Decision Making 2018 Jingchu Liu
Pengfei Hou
Lisen Mu
Yinan Yu
Chang Huang