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Explore-Bench: Data Sets, Metrics and Evaluations for Frontier-based and
  Deep-reinforcement-learning-based Autonomous Exploration

Explore-Bench: Data Sets, Metrics and Evaluations for Frontier-based and Deep-reinforcement-learning-based Autonomous Exploration

24 February 2022
Yuanfan Xu
Jincheng Yu
Jiahao Tang
Jiantao Qiu
Jian Wang
Yuan Shen
Yu Wang
Huazhong Yang
ArXiv (abs)PDFHTMLGithub (76★)

Papers citing "Explore-Bench: Data Sets, Metrics and Evaluations for Frontier-based and Deep-reinforcement-learning-based Autonomous Exploration"

4 / 4 papers shown
Title
IR2: Implicit Rendezvous for Robotic Exploration Teams under Sparse Intermittent Connectivity
IR2: Implicit Rendezvous for Robotic Exploration Teams under Sparse Intermittent Connectivity
Derek Ming Siang Tan
Yixiao Ma
Jingsong Liang
Yi Cheng Chng
Yuhong Cao
Guillaume Sartoretti
96
5
0
07 Sep 2024
The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games
The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games
Chao Yu
Akash Velu
Eugene Vinitsky
Jiaxuan Gao
Yu Wang
Alexandre M. Bayen
Yi Wu
OffRL
134
1,252
0
02 Mar 2021
Learning to Explore using Active Neural SLAM
Learning to Explore using Active Neural SLAM
Devendra Singh Chaplot
Dhiraj Gandhi
Saurabh Gupta
Abhinav Gupta
Ruslan Salakhutdinov
62
514
0
10 Apr 2020
Asynchronous Methods for Deep Reinforcement Learning
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih
Adria Puigdomenech Badia
M. Berk Mirza
Alex Graves
Timothy Lillicrap
Tim Harley
David Silver
Koray Kavukcuoglu
197
8,859
0
04 Feb 2016
1