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

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

11 July 2020
Sascha Rosbach
Xing Li
S. Großjohann
S. Homoceanu
Stefan Roth
ArXivPDFHTML

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

4 / 4 papers shown
Title
Pixel State Value Network for Combined Prediction and Planning in
  Interactive Environments
Pixel State Value Network for Combined Prediction and Planning in Interactive Environments
Sascha Rosbach
Stefan M. Leupold
S. Großjohann
Stefan Roth
29
0
0
11 Oct 2023
Interaction-Aware Trajectory Prediction and Planning for Autonomous
  Vehicles in Forced Merge Scenarios
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
28
54
0
14 Dec 2021
AB-Mapper: Attention and BicNet Based Multi-agent Path Finding for
  Dynamic Crowded Environment
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
37
2
0
02 Oct 2021
How To Not Drive: Learning Driving Constraints from Demonstration
How To Not Drive: Learning Driving Constraints from Demonstration
K. Rezaee
Peyman Yadmellat
31
3
0
01 Oct 2021
1