Learning from Experience for Rapid Generation of Local Car Maneuvers

Learning from Experience for Rapid Generation of Local Car Maneuvers

7 December 2020

Krzysztof Ćwian

Piotr Skrzypczyñski

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Papers citing "Learning from Experience for Rapid Generation of Local Car Maneuvers"

17 / 17 papers shown

Title
Leveraging Experience in Lazy Search M. Bhardwaj Sanjiban Choudhury Byron Boots S. Srinivasa 55 13 0 10 Oct 2021
Adaptively Informed Trees (AIT*): Fast Asymptotically Optimal Path Planning through Adaptive Heuristics Marlin P. Strub Jonathan Gammell 60 82 0 16 Feb 2020
Advanced BIT* (ABIT*): Sampling-Based Planning with Advanced Graph-Search Techniques Marlin P. Strub Jonathan Gammell 44 74 0 16 Feb 2020
Jointly Learnable Behavior and Trajectory Planning for Self-Driving Vehicles Abbas Sadat Mengye Ren A. Pokrovsky Yen-Chen Lin Ersin Yumer R. Urtasun 55 93 0 10 Oct 2019
Neural Path Planning: Fixed Time, Near-Optimal Path Generation via Oracle Imitation M. J. Bency A. H. Qureshi Michael C. Yip 46 86 0 25 Apr 2019
Deep Imitation Learning for Autonomous Driving in Generic Urban Scenarios with Enhanced Safety Jianyu Chen Bodi Yuan Masayoshi Tomizuka 34 134 0 02 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 69 52 0 28 Feb 2019
Motion Planning Networks A. H. Qureshi Anthony Simeonov M. J. Bency Michael C. Yip 3DPC 47 239 0 14 Jun 2018
The Limits and Potentials of Deep Learning for Robotics Niko Sünderhauf Oliver Brock Walter J. Scheirer R. Hadsell Dieter Fox ... B. Upcroft Pieter Abbeel Wolfram Burgard Michael Milford Peter Corke 80 529 0 18 Apr 2018
CARLA: An Open Urban Driving Simulator Alexey Dosovitskiy G. Ros Felipe Codevilla Antonio M. López V. Koltun VLM 137 5,199 0 10 Nov 2017
Batch Informed Trees (BIT*): Informed Asymptotically Optimal Anytime Search Jonathan Gammell Timothy D. Barfoot S. Srinivasa 61 153 0 06 Jul 2017
Informed Sampling for Asymptotically Optimal Path Planning (Consolidated Version) Jonathan Gammell Timothy D. Barfoot S. Srinivasa 50 163 0 20 Jun 2017
Benchmarking Deep Reinforcement Learning for Continuous Control Yan Duan Xi Chen Rein Houthooft John Schulman Pieter Abbeel OffRL 82 1,695 0 22 Apr 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,260 0 22 Dec 2014
Asymptotically Optimal Sampling-based Kinodynamic Planning Yanbo Li Zakary Littlefield Kostas E. Bekris 70 267 0 10 Jul 2014
Batch Informed Trees (BIT*): Sampling-based Optimal Planning via the Heuristically Guided Search of Implicit Random Geometric Graphs Jonathan Gammell S. Srinivasa Timothy D. Barfoot 76 450 0 22 May 2014
Sampling-based Algorithms for Optimal Motion Planning S. Karaman Emilio Frazzoli 102 4,697 0 05 May 2011