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Reinforcement Learning with Probabilistic Guarantees for Autonomous
  Driving

Reinforcement Learning with Probabilistic Guarantees for Autonomous Driving

15 April 2019
Maxime Bouton
J. Karlsson
A. Nakhaei
K. Fujimura
Mykel J. Kochenderfer
Jana Tumova
ArXivPDFHTML

Papers citing "Reinforcement Learning with Probabilistic Guarantees for Autonomous Driving"

14 / 14 papers shown
Title
Turn-based Multi-Agent Reinforcement Learning Model Checking
Dennis Gross
47
0
0
06 Jan 2025
Autonomous Driving at Unsignalized Intersections: A Review of
  Decision-Making Challenges and Reinforcement Learning-Based Solutions
Autonomous Driving at Unsignalized Intersections: A Review of Decision-Making Challenges and Reinforcement Learning-Based Solutions
Mohammad K. Al-Sharman
Luc Edes
Bert Sun
Vishal Jayakumar
Mohamed A. Daoud
Derek Rayside
W. Melek
29
1
0
20 Sep 2024
Reward Machines for Deep RL in Noisy and Uncertain Environments
Reward Machines for Deep RL in Noisy and Uncertain Environments
Andrew C. Li
Zizhao Chen
Toryn Q. Klassen
Pashootan Vaezipoor
Rodrigo Toro Icarte
Sheila A. McIlraith
48
6
0
31 May 2024
Targeted Adversarial Attacks on Deep Reinforcement Learning Policies via
  Model Checking
Targeted Adversarial Attacks on Deep Reinforcement Learning Policies via Model Checking
Dennis Gross
T. D. Simão
N. Jansen
G. Pérez
AAML
46
2
0
10 Dec 2022
Dynamic Shielding for Reinforcement Learning in Black-Box Environments
Dynamic Shielding for Reinforcement Learning in Black-Box Environments
Masaki Waga
Ezequiel Castellano
Sasinee Pruekprasert
Stefan Klikovits
Toru Takisaka
I. Hasuo
15
8
0
27 Jul 2022
Accelerated Reinforcement Learning for Temporal Logic Control Objectives
Accelerated Reinforcement Learning for Temporal Logic Control Objectives
Y. Kantaros
16
11
0
09 May 2022
Multi-task Safe Reinforcement Learning for Navigating Intersections in
  Dense Traffic
Multi-task Safe Reinforcement Learning for Navigating Intersections in Dense Traffic
Yuqi Liu
Qichao Zhang
Dongbin Zhao
28
14
0
19 Feb 2022
On Assessing The Safety of Reinforcement Learning algorithms Using
  Formal Methods
On Assessing The Safety of Reinforcement Learning algorithms Using Formal Methods
Paulina Stevia Nouwou Mindom
Amin Nikanjam
Foutse Khomh
J. Mullins
AAML
28
3
0
08 Nov 2021
Risk-Constrained Interactive Safety under Behavior Uncertainty for
  Autonomous Driving
Risk-Constrained Interactive Safety under Behavior Uncertainty for Autonomous Driving
Julian Bernhard
Alois Knoll
37
8
0
05 Feb 2021
Quantifying Assurance in Learning-enabled Systems
Quantifying Assurance in Learning-enabled Systems
Erfan Asaadi
E. Denney
Ganesh J. Pai
9
16
0
18 Jun 2020
Provably Efficient Model-Free Algorithm for MDPs with Peak Constraints
Provably Efficient Model-Free Algorithm for MDPs with Peak Constraints
Qinbo Bai
Vaneet Aggarwal
Ather Gattami
16
7
0
11 Mar 2020
Neural Simplex Architecture
Neural Simplex Architecture
Dung Phan
Radu Grosu
N. Jansen
Nicola Paoletti
S. Smolka
Scott D. Stoller
16
61
0
01 Aug 2019
Safe Reinforcement Learning with Scene Decomposition for Navigating
  Complex Urban Environments
Safe Reinforcement Learning with Scene Decomposition for Navigating Complex Urban Environments
Maxime Bouton
A. Nakhaei
K. Fujimura
Mykel J. Kochenderfer
20
78
0
25 Apr 2019
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
249
1,838
0
03 Feb 2017
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