Physics-Aware Safety-Assured Design of Hierarchical Neural Network based
Planner

Physics-Aware Safety-Assured Design of Hierarchical Neural Network based Planner

22 January 2022

Papers citing "Physics-Aware Safety-Assured Design of Hierarchical Neural Network based Planner"

18 / 18 papers shown

Title
POLAR: A Polynomial Arithmetic Framework for Verifying Neural-Network Controlled Systems Chao Huang Jiameng Fan Zhilu Wang Yixuan Wang Weichao Zhou Jiajun Li Xin Chen Wenchao Li Qi Zhu 52 48 0 25 Jun 2021
Model-based Constrained Reinforcement Learning using Generalized Control Barrier Function Haitong Ma Jianyu Chen Shengbo Eben Li Ziyu Lin Yang Guan Yangang Ren Sifa Zheng 14 64 0 02 Mar 2021
A Safe Hierarchical Planning Framework for Complex Driving Scenarios based on Reinforcement Learning Jinning Li Liting Sun Jianyu Chen Masayoshi Tomizuka Wei Zhan 14 45 0 17 Jan 2021
End-to-end Interpretable Neural Motion Planner Wenyuan Zeng Wenjie Luo Simon Suo Abbas Sadat Binh Yang Sergio Casas R. Urtasun 3DV 35 403 0 17 Jan 2021
Hierarchical Planning for Resource Allocation in Emergency Response Systems Geoffrey Pettet Ayan Mukhopadhyay Mykel Kochenderfer A. Dubey 22 18 0 24 Dec 2020
Trajectory Planning for Autonomous Vehicles Using Hierarchical Reinforcement Learning Kaleb Ben Naveed Zhiqian Qiao John M. Dolan 17 56 0 09 Nov 2020
Leveraging the Capabilities of Connected and Autonomous Vehicles and Multi-Agent Reinforcement Learning to Mitigate Highway Bottleneck Congestion P. Ha Sikai Chen Jiqian Dong Runjia Du Yujie Li Samuel Labi 16 41 0 12 Oct 2020
Facilitating Connected Autonomous Vehicle Operations Using Space-weighted Information Fusion and Deep Reinforcement Learning Based Control Jiqian Dong Sikai Chen Yujie Li Runjia Du Aaron Steinfeld Samuel Labi 31 11 0 30 Sep 2020
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving Zhangjie Cao Erdem Biyik Woodrow Z. Wang Allan Raventos Adrien Gaidon Guy Rosman Dorsa Sadigh 73 65 0 01 Jul 2020
Learning hierarchical behavior and motion planning for autonomous driving Jingke Wang Yue Wang Dongkun Zhang Yezhou Yang R. Xiong 19 35 0 08 May 2020
Robust Deep Learning as Optimal Control: Insights and Convergence Guarantees Jacob H. Seidman Mahyar Fazlyab V. Preciado George J. Pappas AAML 49 15 0 01 May 2020
NNV: The Neural Network Verification Tool for Deep Neural Networks and Learning-Enabled Cyber-Physical Systems Hoang-Dung Tran Xiaodong Yang Diego Manzanas Lopez Patrick Musau L. V. Nguyen Weiming Xiang Stanley Bak Taylor T. Johnson 49 239 0 12 Apr 2020
Trajectory Planning for Connected and Automated Vehicles: Cruising, Lane Changing, and Platooning Xiangguo Liu Guangchen Zhao Neda Masoud Qi Zhu 15 26 0 23 Jan 2020
Bayesian Learning-Based Adaptive Control for Safety Critical Systems David D. Fan Jennifer Nguyen Rohan Thakker Nikhilesh Alatur Ali-akbar Agha-mohammadi Evangelos A. Theodorou BDL 44 84 0 05 Oct 2019
Motion Planning Networks: Bridging the Gap Between Learning-based and Classical Motion Planners A. H. Qureshi Yinglong Miao Anthony Simeonov Michael C. Yip PINN 3DV 54 215 0 13 Jul 2019
Deep Imitation Learning for Autonomous Driving in Generic Urban Scenarios with Enhanced Safety Jianyu Chen Bodi Yuan Masayoshi Tomizuka 9 133 0 02 Mar 2019
Probabilistically Safe Robot Planning with Confidence-Based Human Predictions J. F. Fisac Andrea V. Bajcsy Sylvia Herbert David Fridovich-Keil Steven H. Wang Claire Tomlin Anca Dragan 54 127 0 31 May 2018
Generating Long-term Trajectories Using Deep Hierarchical Networks Stephan Zheng Yisong Yue Jennifer Hobbs 25 103 0 21 Jun 2017

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