Combining Neural Networks and Tree Search for Task and Motion Planning
in Challenging Environments

Combining Neural Networks and Tree Search for Task and Motion Planning in Challenging Environments

22 March 2017

Vasumathi Raman

Marin Kobilarov

Papers citing "Combining Neural Networks and Tree Search for Task and Motion Planning in Challenging Environments"

18 / 18 papers shown

Title
Automated Planning Domain Inference for Task and Motion Planning Jinbang Huang Allen Tao Rozilyn Marco Miroslav Bogdanovic Jonathan Kelly Florian Shkurti 36 1 0 21 Oct 2024
Beyond Games: A Systematic Review of Neural Monte Carlo Tree Search Applications Marco Kemmerling Daniel Lutticke Robert H. Schmitt 32 14 0 14 Mar 2023
Learning Efficient Abstract Planning Models that Choose What to Predict Nishanth Kumar Willie McClinton Rohan Chitnis Tom Silver Tomás Lozano-Pérez L. Kaelbling 32 18 0 16 Aug 2022
Assembly Planning from Observations under Physical Constraints Thomas Chabal Robin Strudel Etienne Arlaud Jean Ponce Cordelia Schmid 22 4 0 20 Apr 2022
Guided Imitation of Task and Motion Planning M. McDonald Dylan Hadfield-Menell 79 20 0 06 Dec 2021
Elephants Don't Pack Groceries: Robot Task Planning for Low Entropy Belief States Alphonsus Adu-Bredu Zhen Zeng N. Pusalkar Odest Chadwicke Jenkins 9 7 0 18 Nov 2020
Reactive Long Horizon Task Execution via Visual Skill and Precondition Models Shohin Mukherjee Chris Paxton Arsalan Mousavian Adam Fishman Maxim Likhachev Dieter Fox 32 13 0 17 Nov 2020
Task-Motion Planning for Safe and Efficient Urban Driving Yan Ding Xiaohan Zhang Xingyue Zhan Shiqi Zhang 16 19 0 08 Mar 2020
Path Planning in Dynamic Environments using Generative RNNs and Monte Carlo Tree Search Stuart Eiffert He Kong Navid Pirmarzdashti Salah Sukkarieh 31 31 0 30 Jan 2020
A Survey of Deep Learning Applications to Autonomous Vehicle Control Sampo Kuutti Richard Bowden Yaochu Jin P. Barber Saber Fallah 36 506 0 23 Dec 2019
Deep Reinforcement-Learning-based Driving Policy for Autonomous Road Vehicles Konstantinos Makantasis Maria Kontorinaki I. Nikolos 16 32 0 10 Jul 2019
NeuroTrajectory: A Neuroevolutionary Approach to Local State Trajectory Learning for Autonomous Vehicles Sorin Grigorescu Bogdan Trasnea L. Marina Andrei Vasilcoi Tiberiu T. Cocias 24 38 0 26 Jun 2019
Deep Learning Based Motion Planning For Autonomous Vehicle Using Spatiotemporal LSTM Network Zhengwei Bai B. Cai Shangguan Wei Linguo Chai 14 26 0 05 Mar 2019
Learning to Plan in High Dimensions via Neural Exploration-Exploitation Trees Binghong Chen Bo Dai Qinjie Lin Guo Ye Han Liu Le Song 24 51 0 28 Feb 2019
Urban Driving with Multi-Objective Deep Reinforcement Learning Changjian Li Krzysztof Czarnecki 13 72 0 21 Nov 2018
Adaptive Behavior Generation for Autonomous Driving using Deep Reinforcement Learning with Compact Semantic States Peter Wolf Karl Kurzer Tobias Wingert Florian Kuhnt Johann Marius Zöllner 30 55 0 10 Sep 2018
Hierarchical Reinforcement Learning Framework towards Multi-agent Navigation Wenhao Ding Shuaijun Li Huihuan Qian 24 32 0 14 Jul 2018
End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners Simon Hecker Dengxin Dai Luc Van Gool 27 164 0 27 Mar 2018