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Learning to Plan in High Dimensions via Neural Exploration-Exploitation
  Trees

Learning to Plan in High Dimensions via Neural Exploration-Exploitation Trees

28 February 2019
Binghong Chen
Bo Dai
Qinjie Lin
Guo Ye
Han Liu
Le Song
ArXivPDFHTML

Papers citing "Learning to Plan in High Dimensions via Neural Exploration-Exploitation Trees"

13 / 13 papers shown
Title
Generalizable Motion Planning via Operator Learning
Generalizable Motion Planning via Operator Learning
Sharath Matada
Luke Bhan
Yuanyuan Shi
Nikolay Atanasov
33
0
0
23 Oct 2024
TSPDiffuser: Diffusion Models as Learned Samplers for Traveling Salesperson Path Planning Problems
TSPDiffuser: Diffusion Models as Learned Samplers for Traveling Salesperson Path Planning Problems
Ryo Yonetani
42
1
0
05 Jun 2024
Non-Trivial Query Sampling For Efficient Learning To Plan
Non-Trivial Query Sampling For Efficient Learning To Plan
S. Joshi
Panagiotis Tsiotras
26
0
0
12 Mar 2023
Reducing Collision Checking for Sampling-Based Motion Planning Using
  Graph Neural Networks
Reducing Collision Checking for Sampling-Based Motion Planning Using Graph Neural Networks
Chen-Ping Yu
Sicun Gao
34
47
0
17 Oct 2022
Learning-based Motion Planning in Dynamic Environments Using GNNs and
  Temporal Encoding
Learning-based Motion Planning in Dynamic Environments Using GNNs and Temporal Encoding
Ruipeng Zhang
Chenning Yu
Jingkai Chen
Chuchu Fan
Sicun Gao
AI4CE
41
15
0
16 Oct 2022
Robot Motion Planning as Video Prediction: A Spatio-Temporal Neural
  Network-based Motion Planner
Robot Motion Planning as Video Prediction: A Spatio-Temporal Neural Network-based Motion Planner
Xiao Zang
Miao Yin
Lingyi Huang
Jingjin Yu
S. Zonouz
Bo Yuan
3DV
33
12
0
24 Aug 2022
Learning-Based Motion Planning with Mixture Density Networks
Learning-Based Motion Planning with Mixture Density Networks
Yinghan Wang
Xiaoming Duan
Jianping He
3DPC
17
0
0
07 Jun 2022
Approximating Constraint Manifolds Using Generative Models for
  Sampling-Based Constrained Motion Planning
Approximating Constraint Manifolds Using Generative Models for Sampling-Based Constrained Motion Planning
C. Acar
K. P. Tee
26
6
0
14 Apr 2022
CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent
  Path Planning in Continuous Spaces
CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent Path Planning in Continuous Spaces
Keisuke Okumura
Ryo Yonetani
Mai Nishimura
Asako Kanezaki
42
10
0
24 Jan 2022
Neural Stochastic Dual Dynamic Programming
Neural Stochastic Dual Dynamic Programming
H. Dai
Yuan Xue
Zia Syed
Dale Schuurmans
Bo Dai
24
14
0
01 Dec 2021
Neural Tree Expansion for Multi-Robot Planning in Non-Cooperative
  Environments
Neural Tree Expansion for Multi-Robot Planning in Non-Cooperative Environments
Benjamin Rivière
Wolfgang Hoenig
Matthew O. Anderson
Soon-Jo Chung
30
12
0
20 Apr 2021
Learning Sampling Distributions Using Local 3D Workspace Decompositions
  for Motion Planning in High Dimensions
Learning Sampling Distributions Using Local 3D Workspace Decompositions for Motion Planning in High Dimensions
Constantinos Chamzas
Zachary Kingston
Carlos Quintero-Peña
Anshumali Shrivastava
Lydia E. Kavraki
14
37
0
29 Oct 2020
Training Stronger Baselines for Learning to Optimize
Training Stronger Baselines for Learning to Optimize
Tianlong Chen
Weiyi Zhang
Jingyang Zhou
Shiyu Chang
Sijia Liu
Lisa Amini
Zhangyang Wang
OffRL
25
51
0
18 Oct 2020
1