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Long and Short-Term Constraints Driven Safe Reinforcement Learning for
  Autonomous Driving

Long and Short-Term Constraints Driven Safe Reinforcement Learning for Autonomous Driving

27 March 2024
Xuemin Hu
Pan Chen
Yijun Wen
Bo Tang
Long Chen
ArXivPDFHTML

Papers citing "Long and Short-Term Constraints Driven Safe Reinforcement Learning for Autonomous Driving"

14 / 14 papers shown
Title
Feasibility-Aware Pessimistic Estimation: Toward Long-Horizon Safety in Offline RL
Feasibility-Aware Pessimistic Estimation: Toward Long-Horizon Safety in Offline RL
Zhikun Tao
Gang Xiong
He Fang
Zhen Shen
Yunjun Han
Qing-Shan Jia
OffRL
102
0
0
13 May 2025
Penalized Proximal Policy Optimization for Safe Reinforcement Learning
Penalized Proximal Policy Optimization for Safe Reinforcement Learning
Linrui Zhang
Li Shen
Long Yang
Shi-Yong Chen
Bo Yuan
Xueqian Wang
Dacheng Tao
60
64
0
24 May 2022
Direct Behavior Specification via Constrained Reinforcement Learning
Direct Behavior Specification via Constrained Reinforcement Learning
Julien Roy
Roger Girgis
Joshua Romoff
Pierre-Luc Bacon
C. Pal
44
35
0
22 Dec 2021
MetaDrive: Composing Diverse Driving Scenarios for Generalizable
  Reinforcement Learning
MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning
Quanyi Li
Zhenghao Peng
Lan Feng
Qihang Zhang
Zhenghai Xue
Bolei Zhou
81
250
0
26 Sep 2021
Recovery RL: Safe Reinforcement Learning with Learned Recovery Zones
Recovery RL: Safe Reinforcement Learning with Learned Recovery Zones
Brijen Thananjeyan
Ashwin Balakrishna
Suraj Nair
Michael Luo
K. Srinivasan
M. Hwang
Joseph E. Gonzalez
Julian Ibarz
Chelsea Finn
Ken Goldberg
OffRL
74
226
0
29 Oct 2020
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods
Adam Stooke
Joshua Achiam
Pieter Abbeel
70
298
0
08 Jul 2020
Learning to Walk in the Real World with Minimal Human Effort
Learning to Walk in the Real World with Minimal Human Effort
Sehoon Ha
P. Xu
Zhenyu Tan
Sergey Levine
Jie Tan
63
170
0
20 Feb 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey
Deep Reinforcement Learning for Autonomous Driving: A Survey
B. R. Kiran
Ibrahim Sobh
V. Talpaert
Patrick Mannion
A. A. Sallab
S. Yogamani
P. Pérez
329
1,681
0
02 Feb 2020
Automated Lane Change Decision Making using Deep Reinforcement Learning
  in Dynamic and Uncertain Highway Environment
Automated Lane Change Decision Making using Deep Reinforcement Learning in Dynamic and Uncertain Highway Environment
Ali Alizadeh
Majid Moghadam
Yunus Bicer
N. K. Üre
M. U. Yavas
C. Kurtulus
63
97
0
18 Sep 2019
Reward Constrained Policy Optimization
Reward Constrained Policy Optimization
Chen Tessler
D. Mankowitz
Shie Mannor
80
540
0
28 May 2018
Safe Exploration in Continuous Action Spaces
Safe Exploration in Continuous Action Spaces
Gal Dalal
Krishnamurthy Dvijotham
Matej Vecerík
Todd Hester
Cosmin Paduraru
Yuval Tassa
48
439
0
26 Jan 2018
End-to-end Driving via Conditional Imitation Learning
End-to-end Driving via Conditional Imitation Learning
Felipe Codevilla
Matthias Muller
Antonio M. López
V. Koltun
Alexey Dosovitskiy
123
1,066
0
06 Oct 2017
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
458
19,006
0
20 Jul 2017
End to End Learning for Self-Driving Cars
End to End Learning for Self-Driving Cars
Mariusz Bojarski
D. Testa
Daniel Dworakowski
Bernhard Firner
B. Flepp
...
Urs Muller
Jiakai Zhang
Xin Zhang
Jake Zhao
Karol Zieba
SSL
97
4,167
0
25 Apr 2016
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