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. 1812.05027
  4. Cited By
Learning with Training Wheels: Speeding up Training with a Simple
  Controller for Deep Reinforcement Learning

Learning with Training Wheels: Speeding up Training with a Simple Controller for Deep Reinforcement Learning

12 December 2018
Linhai Xie
Sen Wang
Stefano Rosa
Andrew Markham
A. Trigoni
    OffRL
ArXivPDFHTML

Papers citing "Learning with Training Wheels: Speeding up Training with a Simple Controller for Deep Reinforcement Learning"

18 / 18 papers shown
Title
Monocular Camera and Single-Beam Sonar-Based Underwater Collision-Free
  Navigation with Domain Randomization
Monocular Camera and Single-Beam Sonar-Based Underwater Collision-Free Navigation with Domain Randomization
Pengzhi Yang
Haowen Liu
Monika Roznere
Alberto Quattrini Li
22
9
0
08 Dec 2022
Handling Sparse Rewards in Reinforcement Learning Using Model Predictive
  Control
Handling Sparse Rewards in Reinforcement Learning Using Model Predictive Control
Murad Dawood
Nils Dengler
Jorge de Heuvel
Maren Bennewitz
24
9
0
04 Oct 2022
Deep Reinforcement Learning based Robot Navigation in Dynamic
  Environments using Occupancy Values of Motion Primitives
Deep Reinforcement Learning based Robot Navigation in Dynamic Environments using Occupancy Values of Motion Primitives
Neset Unver Akmandor
Hongyu Li
Gary Lvov
Eric Dusel
T. Padır
31
8
0
17 Aug 2022
Fleet-DAgger: Interactive Robot Fleet Learning with Scalable Human
  Supervision
Fleet-DAgger: Interactive Robot Fleet Learning with Scalable Human Supervision
Ryan Hoque
L. Chen
Satvik Sharma
K. Dharmarajan
Brijen Thananjeyan
Pieter Abbeel
Ken Goldberg
30
30
0
29 Jun 2022
Reincarnating Reinforcement Learning: Reusing Prior Computation to
  Accelerate Progress
Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress
Rishabh Agarwal
Max Schwarzer
Pablo Samuel Castro
Rameswar Panda
Marc G. Bellemare
OffRL
OnRL
37
63
0
03 Jun 2022
Using Deep Reinforcement Learning with Automatic Curriculum Learning for
  Mapless Navigation in Intralogistics
Using Deep Reinforcement Learning with Automatic Curriculum Learning for Mapless Navigation in Intralogistics
Honghu Xue
Benedikt Hein
M. Bakr
Georg Schildbach
Bengt Abel
Elmar Rueckert
16
15
0
23 Feb 2022
Curriculum Learning for Safe Mapless Navigation
Curriculum Learning for Safe Mapless Navigation
Luca Marzari
Davide Corsi
Enrico Marchesini
Alessandro Farinelli
22
14
0
23 Dec 2021
A review of mobile robot motion planning methods: from classical motion
  planning workflows to reinforcement learning-based architectures
A review of mobile robot motion planning methods: from classical motion planning workflows to reinforcement learning-based architectures
Changyin Sun
Zicheng He
Chunwei Song
Changyin Sun
38
54
0
31 Aug 2021
Bayesian Controller Fusion: Leveraging Control Priors in Deep
  Reinforcement Learning for Robotics
Bayesian Controller Fusion: Leveraging Control Priors in Deep Reinforcement Learning for Robotics
Krishan Rana
Vibhavari Dasagi
Jesse Haviland
Ben Talbot
Michael Milford
Niko Sünderhauf
BDL
OffRL
24
31
0
21 Jul 2021
SkiffOS: Minimal Cross-compiled Linux for Embedded Containers
SkiffOS: Minimal Cross-compiled Linux for Embedded Containers
Christian Stewart
36
49
0
31 Mar 2021
LISPR: An Options Framework for Policy Reuse with Reinforcement Learning
LISPR: An Options Framework for Policy Reuse with Reinforcement Learning
D. Graves
Jun Jin
Jun Luo
38
2
0
29 Dec 2020
Learn to Navigate Maplessly with Varied LiDAR Configurations: A Support
  Point-Based Approach
Learn to Navigate Maplessly with Varied LiDAR Configurations: A Support Point-Based Approach
Wei Zhang
Ning Liu
Yunfeng Zhang
3DPC
18
20
0
20 Oct 2020
Deep Reinforcement Learning based Local Planner for UAV Obstacle
  Avoidance using Demonstration Data
Deep Reinforcement Learning based Local Planner for UAV Obstacle Avoidance using Demonstration Data
Lei He
Nabil Aouf
J. Whidborne
Bifeng Song
18
26
0
06 Aug 2020
Toward Agile Maneuvers in Highly Constrained Spaces: Learning from
  Hallucination
Toward Agile Maneuvers in Highly Constrained Spaces: Learning from Hallucination
Xuesu Xiao
Bo Liu
Garrett A. Warnell
Peter Stone
15
54
0
28 Jul 2020
Robot Navigation with Map-Based Deep Reinforcement Learning
Robot Navigation with Map-Based Deep Reinforcement Learning
Guangda Chen
Lifan Pan
Yuán Chen
Pei Xu
Zhiqiang Wang
Peichen Wu
Jianmin Ji
Xiaoping Chen
11
27
0
11 Feb 2020
Accelerating Reinforcement Learning with Suboptimal Guidance
Accelerating Reinforcement Learning with Suboptimal Guidance
Eivind Bøhn
Signe Moe
T. Johansen
OnRL
19
0
0
21 Nov 2019
Combining Benefits from Trajectory Optimization and Deep Reinforcement
  Learning
Combining Benefits from Trajectory Optimization and Deep Reinforcement Learning
Guillaume Bellegarda
Katie Byl
OffRL
14
5
0
21 Oct 2019
CAD2RL: Real Single-Image Flight without a Single Real Image
CAD2RL: Real Single-Image Flight without a Single Real Image
Fereshteh Sadeghi
Sergey Levine
SSL
246
809
0
13 Nov 2016
1