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Safe Reinforcement Learning for an Energy-Efficient Driver Assistance
  System

Safe Reinforcement Learning for an Energy-Efficient Driver Assistance System

3 January 2023
Habtamu Hailemichael
B. Ayalew
Lindsey Kerbel
Andrej Ivanco
K. Loiselle
ArXivPDFHTML

Papers citing "Safe Reinforcement Learning for an Energy-Efficient Driver Assistance System"

10 / 10 papers shown
Title
Driver Assistance Eco-driving and Transmission Control with Deep
  Reinforcement Learning
Driver Assistance Eco-driving and Transmission Control with Deep Reinforcement Learning
Lindsey Kerbel
B. Ayalew
Andrej Ivanco
K. Loiselle
OffRL
34
8
0
15 Dec 2022
Comparison between safety methods control barrier function vs.
  reachability analysis
Comparison between safety methods control barrier function vs. reachability analysis
Zhichao Li
42
29
0
24 Jun 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
77
226
0
29 Oct 2020
Learning to be Safe: Deep RL with a Safety Critic
Learning to be Safe: Deep RL with a Safety Critic
K. Srinivasan
Benjamin Eysenbach
Sehoon Ha
Jie Tan
Chelsea Finn
OffRL
75
144
0
27 Oct 2020
Continuous-Discrete Reinforcement Learning for Hybrid Control in
  Robotics
Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics
Michael Neunert
A. Abdolmaleki
Markus Wulfmeier
Thomas Lampe
Jost Tobias Springenberg
Roland Hafner
Francesco Romano
J. Buchli
N. Heess
Martin Riedmiller
59
91
0
02 Jan 2020
End-to-End Safe Reinforcement Learning through Barrier Functions for
  Safety-Critical Continuous Control Tasks
End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks
Richard Cheng
G. Orosz
R. Murray
J. W. Burdick
74
621
0
21 Mar 2019
Maximum a Posteriori Policy Optimisation
Maximum a Posteriori Policy Optimisation
A. Abdolmaleki
Jost Tobias Springenberg
Yuval Tassa
Rémi Munos
N. Heess
Martin Riedmiller
71
477
0
14 Jun 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
Safe and Efficient Off-Policy Reinforcement Learning
Safe and Efficient Off-Policy Reinforcement Learning
Rémi Munos
T. Stepleton
Anna Harutyunyan
Marc G. Bellemare
OffRL
138
615
0
08 Jun 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,039
0
22 Dec 2014
1