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. 1703.04550
  4. Cited By
Sensor Fusion for Robot Control through Deep Reinforcement Learning

Sensor Fusion for Robot Control through Deep Reinforcement Learning

13 March 2017
Steven Bohez
Tim Verbelen
E. D. Coninck
B. Vankeirsbilck
Pieter Simoens
Bart Dhoedt
    SSL
ArXivPDFHTML

Papers citing "Sensor Fusion for Robot Control through Deep Reinforcement Learning"

7 / 7 papers shown
Title
Learning Stability Attention in Vision-based End-to-end Driving Policies
Learning Stability Attention in Vision-based End-to-end Driving Policies
Tsun-Hsuan Wang
Wei Xiao
Makram Chahine
Alexander Amini
Ramin Hasani
Daniela Rus
35
6
0
05 Apr 2023
Planning Immediate Landmarks of Targets for Model-Free Skill Transfer
  across Agents
Planning Immediate Landmarks of Targets for Model-Free Skill Transfer across Agents
Minghuan Liu
Zhengbang Zhu
Menghui Zhu
Yuzheng Zhuang
Weinan Zhang
Jianye Hao
18
0
0
18 Dec 2022
Generalization in Deep Reinforcement Learning for Robotic Navigation by
  Reward Shaping
Generalization in Deep Reinforcement Learning for Robotic Navigation by Reward Shaping
Victor R. F. Miranda
A. A. Neto
G. Freitas
L. Mozelli
39
18
0
28 Sep 2022
Differentiable Control Barrier Functions for Vision-based End-to-End
  Autonomous Driving
Differentiable Control Barrier Functions for Vision-based End-to-End Autonomous Driving
Wei Xiao
Tsun-Hsuan Wang
Makram Chahine
Alexander Amini
Ramin Hasani
Daniela Rus
27
26
0
04 Mar 2022
Transfer RL across Observation Feature Spaces via Model-Based
  Regularization
Transfer RL across Observation Feature Spaces via Model-Based Regularization
Yanchao Sun
Ruijie Zheng
Xiyao Wang
Andrew Cohen
Furong Huang
OOD
OffRL
25
21
0
01 Jan 2022
Efficient and Robust LiDAR-Based End-to-End Navigation
Efficient and Robust LiDAR-Based End-to-End Navigation
Zhijian Liu
Alexander Amini
Sibo Zhu
S. Karaman
Song Han
Daniela Rus
190
47
0
20 May 2021
Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation
Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation
Guan-Horng Liu
Avinash Siravuru
Sai P. Selvaraj
Manuela Veloso
George Kantor
13
69
0
30 May 2017
1