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Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement
  Learning

Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning

18 August 2020
Florian Fuchs
Yunlong Song
Elia Kaufmann
Davide Scaramuzza
Peter Dürr
ArXivPDFHTML

Papers citing "Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning"

19 / 69 papers shown
Title
An Adaptive Human Driver Model for Realistic Race Car Simulations
An Adaptive Human Driver Model for Realistic Race Car Simulations
Stefan Löckel
Siwei Ju
Maximilian Schaller
Peter van Vliet
Jan Peters
24
3
0
03 Mar 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
215
0
14 Feb 2022
Autonomous Racing with Multiple Vehicles using a Parallelized
  Optimization with Safety Guarantee using Control Barrier Functions
Autonomous Racing with Multiple Vehicles using a Parallelized Optimization with Safety Guarantee using Control Barrier Functions
Suiyi He
Jun Zeng
Koushil Sreenath
27
25
0
13 Dec 2021
Fast and Real-time End to End Control in Autonomous Racing Cars Through
  Representation Learning
Fast and Real-time End to End Control in Autonomous Racing Cars Through Representation Learning
Praveen Venkatesh
Rwik Rana
PM Harish
16
0
0
30 Nov 2021
VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and
  Policy Learning for Autonomous Vehicles
VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles
Alexander Amini
Tsun-Hsuan Wang
Igor Gilitschenski
Wilko Schwarting
Zhijian Liu
Song Han
S. Karaman
Daniela Rus
26
98
0
23 Nov 2021
Expert Human-Level Driving in Gran Turismo Sport Using Deep
  Reinforcement Learning with Image-based Representation
Expert Human-Level Driving in Gran Turismo Sport Using Deep Reinforcement Learning with Image-based Representation
Ryuji Imamura
Takuma Seno
Kenta Kawamoto
Michael Spranger
16
2
0
11 Nov 2021
Safe Autonomous Racing via Approximate Reachability on Ego-vision
Safe Autonomous Racing via Approximate Reachability on Ego-vision
Bingqing Chen
Jonathan M Francis
Jean Oh
Eric Nyberg
Sylvia Herbert
56
14
0
14 Oct 2021
On Expressivity and Trainability of Quadratic Networks
On Expressivity and Trainability of Quadratic Networks
Fenglei Fan
Mengzhou Li
Fei Wang
Rongjie Lai
Ge Wang
19
28
0
12 Oct 2021
Autonomous Racing using a Hybrid Imitation-Reinforcement Learning
  Architecture
Autonomous Racing using a Hybrid Imitation-Reinforcement Learning Architecture
Chinmay Vilas Samak
Tanmay Vilas Samak
Sivanathan Kandhasamy
27
6
0
11 Oct 2021
Computational Benefits of Intermediate Rewards for Goal-Reaching Policy
  Learning
Computational Benefits of Intermediate Rewards for Goal-Reaching Policy Learning
Yuexiang Zhai
Christina Baek
Zhengyuan Zhou
Jiantao Jiao
Yi Ma
27
22
0
08 Jul 2021
Autonomous Overtaking in Gran Turismo Sport Using Curriculum
  Reinforcement Learning
Autonomous Overtaking in Gran Turismo Sport Using Curriculum Reinforcement Learning
Yunlong Song
HaoChih Lin
Elia Kaufmann
P. Duerr
Davide Scaramuzza
17
67
0
26 Mar 2021
Learn-to-Race: A Multimodal Control Environment for Autonomous Racing
Learn-to-Race: A Multimodal Control Environment for Autonomous Racing
James Herman
Jonathan M Francis
Siddha Ganju
Bingqing Chen
Anirudh Koul
Abhinav Gupta
Alexey Skabelkin
Ivan Zhukov
Max Kumskoy
Eric Nyberg
31
35
0
22 Mar 2021
Autonomous Drone Racing with Deep Reinforcement Learning
Autonomous Drone Racing with Deep Reinforcement Learning
Yunlong Song
Mats Steinweg
Elia Kaufmann
Davide Scaramuzza
8
139
0
15 Mar 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
38
38
0
08 Mar 2021
Unifying Cardiovascular Modelling with Deep Reinforcement Learning for
  Uncertainty Aware Control of Sepsis Treatment
Unifying Cardiovascular Modelling with Deep Reinforcement Learning for Uncertainty Aware Control of Sepsis Treatment
Thesath Nanayakkara
G. Clermont
C. Langmead
D. Swigon
AI4CE
11
23
0
21 Jan 2021
Learning from Simulation, Racing in Reality
Learning from Simulation, Racing in Reality
Eugenio Chisari
Alexander Liniger
Alisa Rupenyan
Luc Van Gool
John Lygeros
33
25
0
26 Nov 2020
Reinforcement Learning with Random Delays
Reinforcement Learning with Random Delays
Simon Ramstedt
Yann Bouteiller
Giovanni Beltrame
C. Pal
Jonathan Binas
127
59
0
06 Oct 2020
Deep Dynamics Models for Learning Dexterous Manipulation
Deep Dynamics Models for Learning Dexterous Manipulation
Anusha Nagabandi
K. Konolige
Sergey Levine
Vikash Kumar
157
408
0
25 Sep 2019
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
89
263
0
07 Jul 2017
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