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Data-efficient Deep Reinforcement Learning for Vehicle Trajectory
  Control

Data-efficient Deep Reinforcement Learning for Vehicle Trajectory Control

30 November 2023
Bernd Frauenknecht
Tobias Ehlgen
Sebastian Trimpe
ArXivPDFHTML

Papers citing "Data-efficient Deep Reinforcement Learning for Vehicle Trajectory Control"

6 / 6 papers shown
Title
Towards a Reward-Free Reinforcement Learning Framework for Vehicle Control
Towards a Reward-Free Reinforcement Learning Framework for Vehicle Control
Jielong Yang
Daoyuan Huang
35
0
0
21 Feb 2025
Trust the Model Where It Trusts Itself -- Model-Based Actor-Critic with
  Uncertainty-Aware Rollout Adaption
Trust the Model Where It Trusts Itself -- Model-Based Actor-Critic with Uncertainty-Aware Rollout Adaption
Bernd Frauenknecht
Artur Eisele
Devdutt Subhasish
Friedrich Solowjow
Sebastian Trimpe
44
5
0
29 May 2024
TC-Driver: Trajectory Conditioned Driving for Robust Autonomous Racing
  -- A Reinforcement Learning Approach
TC-Driver: Trajectory Conditioned Driving for Robust Autonomous Racing -- A Reinforcement Learning Approach
Edoardo Ghignone
Nicolas Baumann
Mike Boss
Michele Magno
22
13
0
19 May 2022
Deep Reinforcement Learning for Autonomous Driving: A Survey
Deep Reinforcement Learning for Autonomous Driving: A Survey
B. R. Kiran
Ibrahim Sobh
V. Talpaert
Patrick Mannion
A. A. Sallab
S. Yogamani
P. Pérez
143
1,624
0
02 Feb 2020
Information Theoretic Model Predictive Control: Theory and Applications
  to Autonomous Driving
Information Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving
Grady Williams
P. Drews
Brian Goldfain
James M. Rehg
Evangelos A. Theodorou
76
260
0
07 Jul 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,652
0
05 Dec 2016
1