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Deep Latent Competition: Learning to Race Using Visual Control Policies
  in Latent Space

Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space

19 February 2021
Wilko Schwarting
Tim Seyde
Igor Gilitschenski
Lucas Liebenwein
Ryan M Sander
S. Karaman
Daniela Rus
    BDL
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Papers citing "Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space"

12 / 12 papers shown
Title
The Overcooked Generalisation Challenge
The Overcooked Generalisation Challenge
Constantin Ruhdorfer
Matteo Bortoletto
Anna Penzkofer
Andreas Bulling
48
4
0
25 Jun 2024
Bridging the Gap between Discrete Agent Strategies in Game Theory and
  Continuous Motion Planning in Dynamic Environments
Bridging the Gap between Discrete Agent Strategies in Game Theory and Continuous Motion Planning in Dynamic Environments
Hongrui Zheng
Zhijun Zhuang
Stephanie Wu
Shuo Yang
Rahul Mangharam
30
1
0
17 Mar 2024
Energy-based Potential Games for Joint Motion Forecasting and Control
Energy-based Potential Games for Joint Motion Forecasting and Control
Christopher P. Diehl
Tobias Klosek
Martin Krüger
Nils Murzyn
Timo Osterburg
Torsten Bertram
AI4CE
29
6
0
04 Dec 2023
Winning the 3rd Japan Automotive AI Challenge -- Autonomous Racing with
  the Autoware.Auto Open Source Software Stack
Winning the 3rd Japan Automotive AI Challenge -- Autonomous Racing with the Autoware.Auto Open Source Software Stack
Zirui Zang
Renukanandan Tumu
Johannes Betz
Hongrui Zheng
Rahul Mangharam
26
11
0
01 Jun 2022
Neighborhood Mixup Experience Replay: Local Convex Interpolation for
  Improved Sample Efficiency in Continuous Control Tasks
Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks
Ryan M Sander
Wilko Schwarting
Tim Seyde
Igor Gilitschenski
S. Karaman
Daniela Rus
33
2
0
18 May 2022
Gradient-free Multi-domain Optimization for Autonomous Systems
Gradient-free Multi-domain Optimization for Autonomous Systems
Hongrui Zheng
Johannes Betz
Rahul Mangharam
14
7
0
28 Feb 2022
Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing
Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing
Johannes Betz
Hongrui Zheng
Alexander Liniger
Ugo Rosolia
Phillip Karle
Madhur Behl
V. Krovi
Rahul Mangharam
35
212
0
14 Feb 2022
A Survey on Safety-Critical Driving Scenario Generation -- A
  Methodological Perspective
A Survey on Safety-Critical Driving Scenario Generation -- A Methodological Perspective
Wenhao Ding
Chejian Xu
Mansur Arief
Hao-ming Lin
Bo-wen Li
Ding Zhao
30
143
0
04 Feb 2022
Learning Interactive Driving Policies via Data-driven Simulation
Learning Interactive Driving Policies via Data-driven Simulation
Tsun-Hsuan Wang
Alexander Amini
Wilko Schwarting
Igor Gilitschenski
S. Karaman
Daniela Rus
19
20
0
23 Nov 2021
Anomaly Detection in Multi-Agent Trajectories for Automated Driving
Anomaly Detection in Multi-Agent Trajectories for Automated Driving
Julian Wiederer
Arij Bouazizi
Marco Troina
U. Kressel
Vasileios Belagiannis
35
22
0
15 Oct 2021
Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing
Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing
Axel Brunnbauer
Luigi Berducci
Andreas Brandstätter
Mathias Lechner
Ramin Hasani
Daniela Rus
Radu Grosu
LM&Ro
30
37
0
08 Mar 2021
Lost in Pruning: The Effects of Pruning Neural Networks beyond Test
  Accuracy
Lost in Pruning: The Effects of Pruning Neural Networks beyond Test Accuracy
Lucas Liebenwein
Cenk Baykal
Brandon Carter
David K Gifford
Daniela Rus
AAML
35
71
0
04 Mar 2021
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