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. 2003.09207
  4. Cited By
L2B: Learning to Balance the Safety-Efficiency Trade-off in Interactive
  Crowd-aware Robot Navigation

L2B: Learning to Balance the Safety-Efficiency Trade-off in Interactive Crowd-aware Robot Navigation

20 March 2020
Mai Nishimura
Ryo Yonetani
ArXivPDFHTML

Papers citing "L2B: Learning to Balance the Safety-Efficiency Trade-off in Interactive Crowd-aware Robot Navigation"

3 / 3 papers shown
Title
A Multi-Behavior Planning Framework for Robot Guide
A Multi-Behavior Planning Framework for Robot Guide
Muhan Hou
Zonghao Mu
Jing Li
Qizhi Yu
J. Gu
16
0
0
07 Jan 2022
Motion Planning Among Dynamic, Decision-Making Agents with Deep
  Reinforcement Learning
Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning
Michael Everett
Yu Fan Chen
Jonathan P. How
133
505
0
04 May 2018
Decentralized Non-communicating Multiagent Collision Avoidance with Deep
  Reinforcement Learning
Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning
Yu Fan Chen
Miao Liu
Michael Everett
Jonathan P. How
173
582
0
26 Sep 2016
1