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Transferring Multi-Agent Reinforcement Learning Policies for Autonomous
  Driving using Sim-to-Real

Transferring Multi-Agent Reinforcement Learning Policies for Autonomous Driving using Sim-to-Real

22 March 2022
Eduardo Candela
L. Parada
Luís Marques
Tiberiu-Andrei Georgescu
Y. Demiris
Panagiotis Angeloudis
ArXivPDFHTML

Papers citing "Transferring Multi-Agent Reinforcement Learning Policies for Autonomous Driving using Sim-to-Real"

9 / 9 papers shown
Title
Automatic Curriculum Learning for Driving Scenarios: Towards Robust and Efficient Reinforcement Learning
Automatic Curriculum Learning for Driving Scenarios: Towards Robust and Efficient Reinforcement Learning
Ahmed Abouelazm
Tim Weinstein
Tim Joseph
Philip Schorner
J. M. Zöllner
32
0
0
13 May 2025
JaxRobotarium: Training and Deploying Multi-Robot Policies in 10 Minutes
JaxRobotarium: Training and Deploying Multi-Robot Policies in 10 Minutes
Shalin Jain
Jiazhen Liu
Siva Kailas
Harish Ravichandar
37
0
0
10 May 2025
Multi-Robot Collaboration through Reinforcement Learning and Abstract Simulation
Adam Labiosa
Josiah P. Hanna
54
0
0
07 Mar 2025
Digital twin in virtual reality for human-vehicle interactions in the
  context of autonomous driving
Digital twin in virtual reality for human-vehicle interactions in the context of autonomous driving
Sergio Martín Serrano
R. Izquierdo
Iván García Daza
Miguel Ángel Sotelo
David Fernández Llorca
38
6
0
20 Mar 2023
Learning to Control Autonomous Fleets from Observation via Offline
  Reinforcement Learning
Learning to Control Autonomous Fleets from Observation via Offline Reinforcement Learning
Carolin Schmidt
Daniele Gammelli
Francisco Câmara Pereira
Filipe Rodrigues
OffRL
14
4
0
28 Feb 2023
RoMFAC: A robust mean-field actor-critic reinforcement learning against
  adversarial perturbations on states
RoMFAC: A robust mean-field actor-critic reinforcement learning against adversarial perturbations on states
Ziyuan Zhou
Guanjun Liu
AAML
35
23
0
15 May 2022
Reset-Free Reinforcement Learning via Multi-Task Learning: Learning
  Dexterous Manipulation Behaviors without Human Intervention
Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention
Abhishek Gupta
Justin Yu
Tony Zhao
Vikash Kumar
Aaron Rovinsky
Kelvin Xu
Thomas Devlin
Sergey Levine
OffRL
72
95
0
22 Apr 2021
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for
  Autonomous Driving
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
Ming Zhou
Jun Luo
Julian Villela
Yaodong Yang
David Rusu
...
H. Ammar
Hongbo Zhang
Wulong Liu
Jianye Hao
Jun Wang
139
193
0
19 Oct 2020
Bi-level Actor-Critic for Multi-agent Coordination
Bi-level Actor-Critic for Multi-agent Coordination
Haifeng Zhang
Weizhe Chen
Zeren Huang
Minne Li
Yaodong Yang
Weinan Zhang
Jun Wang
98
91
0
08 Sep 2019
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