Combining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving

6 May 2019

C. Hoel

Katherine Driggs-Campbell

Krister Wolff

L. Laine

Mykel J. Kochenderfer

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Papers citing "Combining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving"

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Title
Lab2Car: A Versatile Wrapper for Deploying Experimental Planners in Complex Real-world Environments Marc Heim Fráncisco Suarez-Ruiz Ishraq Bhuiyan Bruno Brito Momchil S. Tomov 34 1 0 14 Sep 2024
End-to-End Learning of Behavioural Inputs for Autonomous Driving in Dense Traffic Jatan Shrestha Simon Idoko Basant Sharma A. K. Singh 11 5 0 23 Oct 2023
C-MCTS: Safe Planning with Monte Carlo Tree Search Dinesh Parthasarathy G. Kontes Axel Plinge Christopher Mutschler 40 3 0 25 May 2023
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
n-Step Temporal Difference Learning with Optimal n Lakshmi Mandal S. Bhatnagar 29 2 0 13 Mar 2023
Predicting Parameters for Modeling Traffic Participants Ahmadreza Moradipari S. Bae M. Alizadeh Ehsan Moradi-Pari David Isele 31 5 0 26 Jan 2023
Prediction Based Decision Making for Autonomous Highway Driving Mustafa Yildirim Sajjad Mozaffari Lucy McCutcheon M. Dianati Alireza Tamaddoni-Nezhad Saber Fallah 16 7 0 05 Sep 2022
Interaction-aware Decision-making for Automated Vehicles using Social Value Orientation Luca Crosato Hubert P. H. Shum Edmond S. L. Ho Chongfeng Wei 22 50 0 12 Jul 2022
BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving Yunpeng Zhang Zheng Hua Zhu Wenzhao Zheng Junjie Huang Guan Huang Jie Zhou Jiwen Lu 36 188 0 19 May 2022
Safer Autonomous Driving in a Stochastic, Partially-Observable Environment by Hierarchical Contingency Planning Ugo Lecerf Christelle Yemdji Tchassi Pietro Michiardi 30 1 0 13 Apr 2022
Automatically Learning Fallback Strategies with Model-Free Reinforcement Learning in Safety-Critical Driving Scenarios Ugo Lecerf Christelle Yemdji Tchassi S. Aubert Pietro Michiardi 26 0 0 11 Apr 2022
How to Learn from Risk: Explicit Risk-Utility Reinforcement Learning for Efficient and Safe Driving Strategies Lukas M. Schmidt Sebastian Rietsch Axel Plinge Bjoern M. Eskofier Christopher Mutschler OffRL 35 5 0 16 Mar 2022
Designing Decision Support Systems for Emergency Response: Challenges and Opportunities Geoffrey Pettet Hunter Baxter S. Vazirizade Hemant Purohit Meiyi Ma Ayan Mukhopadhyay Abhishek Dubey 11 4 0 23 Feb 2022
Robustness and Adaptability of Reinforcement Learning based Cooperative Autonomous Driving in Mixed-autonomy Traffic Rodolfo Valiente Behrad Toghi Ramtin Pedarsani Y. P. Fallah 68 56 0 02 Feb 2022
Off Environment Evaluation Using Convex Risk Minimization Pulkit Katdare Shuijing Liu Katherine Driggs-Campbell 18 2 0 21 Dec 2021
Decentralized Cooperative Lane Changing at Freeway Weaving Areas Using Multi-Agent Deep Reinforcement Learning Yi Hou P. Graf AI4CE 27 9 0 05 Oct 2021
Reinforcement Learning based Negotiation-aware Motion Planning of Autonomous Vehicles Zhitao Wang Yuzheng Zhuang Qiang Gu Dong Chen Hongbo Zhang Wulong Liu 16 9 0 08 Jul 2021
Decision-making Strategy on Highway for Autonomous Vehicles using Deep Reinforcement Learning Jiangdong Liao Teng Liu Xiaolin Tang Xingyu Mu Bingding Huang Dongpu Cao 11 74 0 16 Jul 2020
Dueling Deep Q Network for Highway Decision Making in Autonomous Vehicles: A Case Study Teng Liu Xingyu Mu Xiaolin Tang Bingding Huang Hong Wang Dongpu Cao 26 1 0 16 Jul 2020
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies Yu Huang Yue Chen 3DPC 49 83 0 10 Jun 2020
Deep Learning for Change Detection in Remote Sensing Images: Comprehensive Review and Meta-Analysis Lazhar Khelifi M. Mignotte 31 259 0 10 Jun 2020
Driving in Dense Traffic with Model-Free Reinforcement Learning D. Saxena S. Bae A. Nakhaei K. Fujimura Maxim Likhachev 27 86 0 15 Sep 2019