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Interpretable End-to-end Urban Autonomous Driving with Latent Deep
  Reinforcement Learning

Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning

23 January 2020
Jianyu Chen
Shengbo Eben Li
Masayoshi Tomizuka
ArXivPDFHTML

Papers citing "Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning"

39 / 39 papers shown
Title
Risk-Aware Reinforcement Learning for Autonomous Driving: Improving Safety When Driving through Intersection
Risk-Aware Reinforcement Learning for Autonomous Driving: Improving Safety When Driving through Intersection
Bo Leng
Ran Yu
Wei Han
Lu Xiong
Zhuoren Li
Hailong Huang
64
1
0
25 Mar 2025
SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning
SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning
Xuyang Li
Romit Maulik
63
0
0
21 Feb 2025
Autonomous Algorithm for Training Autonomous Vehicles with Minimal Human Intervention
Autonomous Algorithm for Training Autonomous Vehicles with Minimal Human Intervention
Sang-Hyun Lee
Daehyeok Kwon
Seung-Woo Seo
88
1
0
17 Jan 2025
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving
Shahin Atakishiyev
Mohammad Salameh
Randy Goebel
95
6
0
18 Mar 2024
On Generating Explanations for Reinforcement Learning Policies: An Empirical Study
On Generating Explanations for Reinforcement Learning Policies: An Empirical Study
Mikihisa Yuasa
Huy T. Tran
R. Sreenivas
FAtt
LRM
76
1
0
29 Sep 2023
PlaNet of the Bayesians: Reconsidering and Improving Deep Planning
  Network by Incorporating Bayesian Inference
PlaNet of the Bayesians: Reconsidering and Improving Deep Planning Network by Incorporating Bayesian Inference
Masashi Okada
Norio Kosaka
T. Taniguchi
20
43
0
01 Mar 2020
Decision-Making with Auto-Encoding Variational Bayes
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
107
10,591
0
17 Feb 2020
If MaxEnt RL is the Answer, What is the Question?
If MaxEnt RL is the Answer, What is the Question?
Benjamin Eysenbach
Sergey Levine
36
58
0
04 Oct 2019
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a
  Latent Variable Model
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
Alex X. Lee
Anusha Nagabandi
Pieter Abbeel
Sergey Levine
OffRL
BDL
47
377
0
01 Jul 2019
A Survey of Autonomous Driving: Common Practices and Emerging
  Technologies
A Survey of Autonomous Driving: Common Practices and Emerging Technologies
Ekim Yurtsever
Jacob Lambert
Alexander Carballo
K. Takeda
70
1,362
0
12 Jun 2019
Model-free Deep Reinforcement Learning for Urban Autonomous Driving
Model-free Deep Reinforcement Learning for Urban Autonomous Driving
Jianyu Chen
Bodi Yuan
Masayoshi Tomizuka
32
263
0
20 Apr 2019
Deep Imitation Learning for Autonomous Driving in Generic Urban
  Scenarios with Enhanced Safety
Deep Imitation Learning for Autonomous Driving in Generic Urban Scenarios with Enhanced Safety
Jianyu Chen
Bodi Yuan
Masayoshi Tomizuka
9
133
0
02 Mar 2019
Soft Actor-Critic Algorithms and Applications
Soft Actor-Critic Algorithms and Applications
Tuomas Haarnoja
Aurick Zhou
Kristian Hartikainen
George Tucker
Sehoon Ha
...
Vikash Kumar
Henry Zhu
Abhishek Gupta
Pieter Abbeel
Sergey Levine
90
2,391
0
13 Dec 2018
ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing
  the Worst
ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst
Mayank Bansal
A. Krizhevsky
A. Ogale
OOD
44
736
0
07 Dec 2018
Learning Latent Dynamics for Planning from Pixels
Learning Latent Dynamics for Planning from Pixels
Danijar Hafner
Timothy Lillicrap
Ian S. Fischer
Ruben Villegas
David R Ha
Honglak Lee
James Davidson
BDL
53
1,416
0
12 Nov 2018
Learning to Drive in a Day
Learning to Drive in a Day
Alex Kendall
Jeffrey Hawke
David Janz
Przemyslaw Mazur
Daniele Reda
John M. Allen
Vinh-Dieu Lam
Alex Bewley
Amar Shah
64
649
0
01 Jul 2018
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic
  Manipulation
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation
Dmitry Kalashnikov
A. Irpan
P. Pastor
Julian Ibarz
Alexander Herzog
...
Deirdre Quillen
E. Holly
Mrinal Kalakrishnan
Vincent Vanhoucke
Sergey Levine
84
1,454
0
27 Jun 2018
Conditional Affordance Learning for Driving in Urban Environments
Conditional Affordance Learning for Driving in Urban Environments
Axel Sauer
Nikolay Savinov
Andreas Geiger
25
186
0
18 Jun 2018
Reinforcement Learning and Control as Probabilistic Inference: Tutorial
  and Review
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review
Sergey Levine
AI4CE
BDL
41
667
0
02 May 2018
World Models
World Models
David R Ha
Jürgen Schmidhuber
SyDa
82
1,050
0
27 Mar 2018
Addressing Function Approximation Error in Actor-Critic Methods
Addressing Function Approximation Error in Actor-Critic Methods
Scott Fujimoto
H. V. Hoof
David Meger
OffRL
122
5,121
0
26 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement
  Learning with a Stochastic Actor
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
156
8,236
0
04 Jan 2018
CARLA: An Open Urban Driving Simulator
CARLA: An Open Urban Driving Simulator
Alexey Dosovitskiy
G. Ros
Felipe Codevilla
Antonio M. López
V. Koltun
VLM
115
5,111
0
10 Nov 2017
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised
  Learning
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning
Marco Fraccaro
Simon Kamronn
Ulrich Paquet
Ole Winther
BDL
41
282
0
16 Oct 2017
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
87
1,062
0
06 Oct 2017
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
183
18,685
0
20 Jul 2017
Explaining How a Deep Neural Network Trained with End-to-End Learning
  Steers a Car
Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car
Mariusz Bojarski
Philip Yeres
A. Choromańska
K. Choromanski
Bernhard Firner
L. Jackel
Urs Muller
47
400
0
25 Apr 2017
Interpretable Learning for Self-Driving Cars by Visualizing Causal
  Attention
Interpretable Learning for Self-Driving Cars by Visualizing Causal Attention
Jinkyu Kim
John F. Canny
FAtt
XAI
OOD
MILM
CML
61
334
0
30 Mar 2017
Reinforcement Learning with Deep Energy-Based Policies
Reinforcement Learning with Deep Energy-Based Policies
Tuomas Haarnoja
Haoran Tang
Pieter Abbeel
Sergey Levine
42
1,329
0
27 Feb 2017
End-to-end Learning of Driving Models from Large-scale Video Datasets
End-to-end Learning of Driving Models from Large-scale Video Datasets
Huazhe Xu
Yang Gao
Feng Yu
Trevor Darrell
62
824
0
04 Dec 2016
Deep Variational Bayes Filters: Unsupervised Learning of State Space
  Models from Raw Data
Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data
Maximilian Karl
Maximilian Sölch
Justin Bayer
Patrick van der Smagt
BDL
24
373
0
20 May 2016
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
26
4,153
0
25 Apr 2016
Asynchronous Methods for Deep Reinforcement Learning
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih
Adria Puigdomenech Badia
M. Berk Mirza
Alex Graves
Timothy Lillicrap
Tim Harley
David Silver
Koray Kavukcuoglu
138
8,805
0
04 Feb 2016
Deep Kalman Filters
Deep Kalman Filters
Rahul G. Krishnan
Uri Shalit
David Sontag
BDL
AI4TS
49
372
0
16 Nov 2015
Deep Reinforcement Learning with Double Q-learning
Deep Reinforcement Learning with Double Q-learning
H. V. Hasselt
A. Guez
David Silver
OffRL
80
7,590
0
22 Sep 2015
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
115
13,174
0
09 Sep 2015
End-to-End Training of Deep Visuomotor Policies
End-to-End Training of Deep Visuomotor Policies
Sergey Levine
Chelsea Finn
Trevor Darrell
Pieter Abbeel
BDL
154
3,418
0
02 Apr 2015
Trust Region Policy Optimization
Trust Region Policy Optimization
John Schulman
Sergey Levine
Philipp Moritz
Michael I. Jordan
Pieter Abbeel
208
6,722
0
19 Feb 2015
Playing Atari with Deep Reinforcement Learning
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih
Koray Kavukcuoglu
David Silver
Alex Graves
Ioannis Antonoglou
Daan Wierstra
Martin Riedmiller
53
12,163
0
19 Dec 2013
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