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. 2209.11082
  4. Cited By
Bypassing the Simulation-to-reality Gap: Online Reinforcement Learning
  using a Supervisor

Bypassing the Simulation-to-reality Gap: Online Reinforcement Learning using a Supervisor

22 September 2022
B. D. Evans
Johannes Betz
Hongrui Zheng
H. Engelbrecht
Rahul Mangharam
H. W. Jordaan
    OffRL
ArXivPDFHTML

Papers citing "Bypassing the Simulation-to-reality Gap: Online Reinforcement Learning using a Supervisor"

2 / 2 papers shown
Title
Drive Fast, Learn Faster: On-Board RL for High Performance Autonomous Racing
Drive Fast, Learn Faster: On-Board RL for High Performance Autonomous Racing
Benedict Hildisch
Edoardo Ghignone
Nicolas Baumann
Cheng Hu
Andrea Carron
Michele Magno
34
0
0
12 May 2025
AnyBipe: An End-to-End Framework for Training and Deploying Bipedal Robots Guided by Large Language Models
AnyBipe: An End-to-End Framework for Training and Deploying Bipedal Robots Guided by Large Language Models
Yifei Yao
Wentao He
Chenyu Gu
Jiaheng Du
Fuwei Tan
Zhen Zhu
Junguo Lu
OffRL
31
2
0
13 Sep 2024
1