ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2203.11653
  4. Cited By
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"

8 / 8 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
27
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
H. Ravichandar
29
0
0
10 May 2025
Multi-Robot Collaboration through Reinforcement Learning and Abstract Simulation
Adam Labiosa
Josiah P. Hanna
49
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
30
6
0
20 Mar 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
30
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
69
94
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-Jie Luo
Julian Villela
Yaodong Yang
David Rusu
...
H. Ammar
Hongbo Zhang
Wulong Liu
Jianye Hao
Jun Wang
136
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
96
91
0
08 Sep 2019
1