Safe, Efficient, and Comfortable Velocity Control based on Reinforcement
Learning for Autonomous Driving

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Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving

29 January 2019

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Papers citing "Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving"

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Title
One Stack, Diverse Vehicles: Checking Safe Portability of Automated Driving Software Vladislav Nenchev 143 1 0 30 Jan 2025
Context-aware LLM-based Safe Control Against Latent Risks Quang Khanh Luu Xiyu Deng Anh Van Ho Yorie Nakahira 108 4 0 18 Mar 2024
End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks Richard Cheng G. Orosz R. Murray J. W. Burdick 79 624 0 21 Mar 2019
Human-Like Autonomous Car-Following Model with Deep Reinforcement Learning Meixin Zhu X. Wang Yinhai Wang 71 408 0 03 Jan 2019
Modeling car-following behavior on urban expressways in Shanghai: A naturalistic driving study Meixin Zhu Xuesong Wang A. Tarko S. Fang 36 218 0 11 Nov 2018
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 232 1,542 0 25 Jan 2017
Imitating Driver Behavior with Generative Adversarial Networks Alex Kuefler Jeremy Morton T. Wheeler Mykel Kochenderfer GAN 86 407 0 24 Jan 2017
Early Detection of Combustion Instabilities using Deep Convolutional Selective Autoencoders on Hi-speed Flame Video Chandrayee Basu Qian Yang M. Singhal Anca Dragan 103 175 0 25 Mar 2016
Prioritized Experience Replay Tom Schaul John Quan Ioannis Antonoglou David Silver OffRL 223 3,797 0 18 Nov 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 325 13,286 0 09 Sep 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,312 0 22 Dec 2014