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AutoVRL: A High Fidelity Autonomous Ground Vehicle Simulator for
  Sim-to-Real Deep Reinforcement Learning
v1v2 (latest)

AutoVRL: A High Fidelity Autonomous Ground Vehicle Simulator for Sim-to-Real Deep Reinforcement Learning

IFAC-PapersOnLine (IFAC-PapersOnLine), 2023
22 April 2023
Shathushan Sivashangaran
Apoorva Khairnar
A. Eskandarian
ArXiv (abs)PDFHTML

Papers citing "AutoVRL: A High Fidelity Autonomous Ground Vehicle Simulator for Sim-to-Real Deep Reinforcement Learning"

4 / 4 papers shown
Title
Exploration Without Maps via Zero-Shot Out-of-Distribution Deep
  Reinforcement Learning
Exploration Without Maps via Zero-Shot Out-of-Distribution Deep Reinforcement Learning
Shathushan Sivashangaran
Apoorva Khairnar
A. Eskandarian
OffRL
154
0
0
07 Feb 2024
Zero-Shot Policy Transferability for the Control of a Scale Autonomous
  Vehicle
Zero-Shot Policy Transferability for the Control of a Scale Autonomous Vehicle
Harry Zhang
Stefan Caldararu
Sriram Ashokkumar
Ishaan Mahajan
Aaron Young
Alexis Ruiz
H. Unjhawala
Luning Bakke
Dan Negrut
160
1
0
18 Sep 2023
Deep Reinforcement Learning for Autonomous Ground Vehicle Exploration
  Without A-Priori Maps
Deep Reinforcement Learning for Autonomous Ground Vehicle Exploration Without A-Priori MapsAdvances in Artificial Intelligence and Machine Learning (AAIML), 2023
Shathushan Sivashangaran
A. Eskandarian
167
9
0
10 Jan 2023
XTENTH-CAR: A Proportionally Scaled Experimental Vehicle Platform for
  Connected Autonomy and All-Terrain Research
XTENTH-CAR: A Proportionally Scaled Experimental Vehicle Platform for Connected Autonomy and All-Terrain Research
Shathushan Sivashangaran
A. Eskandarian
214
9
0
03 Dec 2022
1