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Behavioral decision-making for urban autonomous driving in the presence
  of pedestrians using Deep Recurrent Q-Network

Behavioral decision-making for urban autonomous driving in the presence of pedestrians using Deep Recurrent Q-Network

26 October 2020
Niranjan Deshpande
Dominique Vaufreydaz
A. Spalanzani
ArXivPDFHTML

Papers citing "Behavioral decision-making for urban autonomous driving in the presence of pedestrians using Deep Recurrent Q-Network"

3 / 3 papers shown
Title
Dealing with uncertainty: balancing exploration and exploitation in deep
  recurrent reinforcement learning
Dealing with uncertainty: balancing exploration and exploitation in deep recurrent reinforcement learning
Valentina Zangirolami
Matteo Borrotti
31
6
0
12 Oct 2023
Intention-Aware Decision-Making for Mixed Intersection Scenarios
Intention-Aware Decision-Making for Mixed Intersection Scenarios
Bálint Varga
Donghao Yang
Sören Hohmann
19
8
0
29 Mar 2023
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
171
1,640
0
02 Feb 2020
1