Planning on the fast lane: Learning to interact using attention
mechanisms in path integral inverse reinforcement learning

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Planning on the fast lane: Learning to interact using attention mechanisms in path integral inverse reinforcement learning

11 July 2020

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Papers citing "Planning on the fast lane: Learning to interact using attention mechanisms in path integral inverse reinforcement learning"

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Title
Pixel State Value Network for Combined Prediction and Planning in Interactive Environments Sascha Rosbach Stefan M. Leupold S. Großjohann Stefan Roth 54 0 0 11 Oct 2023
DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning in Autonomous Driving Zhiyu Huang Peter Karkus Boris Ivanovic Yuxiao Chen Marco Pavone Chen Lv 66 32 0 09 Oct 2023
Interaction-Aware Trajectory Prediction and Planning for Autonomous Vehicles in Forced Merge Scenarios Kaiwen Liu Nan I. Li H. E. Tseng Ilya Kolmanovsky Anouck Girard 68 59 0 14 Dec 2021
AB-Mapper: Attention and BicNet Based Multi-agent Path Finding for Dynamic Crowded Environment Huifeng Guan Yuan Gao Ming Zhao Yong Yang Fuqin Deng Tin Lun Lam 54 2 0 02 Oct 2021
How To Not Drive: Learning Driving Constraints from Demonstration K. Rezaee Peyman Yadmellat 63 3 0 01 Oct 2021
Calibration of Human Driving Behavior and Preference Using Naturalistic Traffic Data Qi Dai Di Shen Jinhong Wang Suzhou Huang Dimitar Filev 49 12 0 05 May 2021