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2010.14838
Cited By
Dynamically Feasible Deep Reinforcement Learning Policy for Robot Navigation in Dense Mobile Crowds
28 October 2020
Utsav Patel
Nithish Kumar
A. Sathyamoorthy
Tianyi Zhou
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Papers citing
"Dynamically Feasible Deep Reinforcement Learning Policy for Robot Navigation in Dense Mobile Crowds"
10 / 10 papers shown
Title
RUMOR: Reinforcement learning for Understanding a Model of the Real World for Navigation in Dynamic Environments
Diego Martínez Baselga
L. Riazuelo
Luis Montano
89
1
0
25 Apr 2024
SACPlanner: Real-World Collision Avoidance with a Soft Actor Critic Local Planner and Polar State Representations
Khaled Nakhleh
Minahil Raza
Mack Tang
M. Andrews
Rinu Boney
I. Hadžić
Jeongran Lee
Atefeh Mohajeri
Karina Palyutina
17
4
0
21 Mar 2023
Improving robot navigation in crowded environments using intrinsic rewards
Diego Martínez Baselga
L. Riazuelo
Luis Montano
45
12
0
13 Feb 2023
DRL-VO: Learning to Navigate Through Crowded Dynamic Scenes Using Velocity Obstacles
Zhanteng Xie
P. Dames
46
61
0
16 Jan 2023
The Foreseeable Future: Self-Supervised Learning to Predict Dynamic Scenes for Indoor Navigation
Hugues Thomas
Jian Zhang
Timothy D. Barfoot
3DPC
29
4
0
26 Aug 2022
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
Reinforcement Learned Distributed Multi-Robot Navigation with Reciprocal Velocity Obstacle Shaped Rewards
Ruihua Han
Shengduo Chen
Shuaijun Wang
Zeqing Zhang
R. Gao
Qi Hao
Jia Pan
30
99
0
19 Mar 2022
Learning Spatiotemporal Occupancy Grid Maps for Lifelong Navigation in Dynamic Scenes
Hugues Thomas
Matthieu Gallet de Saint Aurin
Jian Zhang
T. Barfoot
19
12
0
24 Aug 2021
Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning
Michael Everett
Yu Fan Chen
Jonathan P. How
146
509
0
04 May 2018
Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning
Yu Fan Chen
Miao Liu
Michael Everett
Jonathan P. How
187
583
0
26 Sep 2016
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