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

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

12 / 12 papers shown

Title
Generalizable Motion Planning via Operator Learning Sharath Matada Luke Bhan Yuanyuan Shi Nikolay Atanasov 25 0 0 23 Oct 2024
TSPDiffuser: Diffusion Models as Learned Samplers for Traveling Salesperson Path Planning Problems Ryo Yonetani 39 1 0 05 Jun 2024
Non-Trivial Query Sampling For Efficient Learning To Plan S. Joshi Panagiotis Tsiotras 15 0 0 12 Mar 2023
Reducing Collision Checking for Sampling-Based Motion Planning Using Graph Neural Networks Chen-Ping Yu Sicun Gao 24 47 0 17 Oct 2022
Learning-based Motion Planning in Dynamic Environments Using GNNs and Temporal Encoding Ruipeng Zhang Chenning Yu Jingkai Chen Chuchu Fan Sicun Gao AI4CE 33 15 0 16 Oct 2022
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 15 12 0 24 Aug 2022
Learning-Based Motion Planning with Mixture Density Networks Yinghan Wang Xiaoming Duan Jianping He 3DPC 13 0 0 07 Jun 2022
Approximating Constraint Manifolds Using Generative Models for Sampling-Based Constrained Motion Planning C. Acar K. P. Tee 23 6 0 14 Apr 2022
CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent Path Planning in Continuous Spaces Keisuke Okumura Ryo Yonetani Mai Nishimura Asako Kanezaki 36 10 0 24 Jan 2022
Neural Stochastic Dual Dynamic Programming H. Dai Yuan Xue Zia Syed Dale Schuurmans Bo Dai 13 14 0 01 Dec 2021
Neural Tree Expansion for Multi-Robot Planning in Non-Cooperative Environments Benjamin Rivière Wolfgang Hoenig Matthew O. Anderson Soon-Jo Chung 17 12 0 20 Apr 2021
Training Stronger Baselines for Learning to Optimize Tianlong Chen Weiyi Zhang Jingyang Zhou Shiyu Chang Sijia Liu Lisa Amini Zhangyang Wang OffRL 19 51 0 18 Oct 2020