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Acting upon Imagination: when to trust imagined trajectories in model based reinforcement learning
12 May 2021
Adrian Remonda
Eduardo E. Veas
Granit Luzhnica
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Papers citing
"Acting upon Imagination: when to trust imagined trajectories in model based reinforcement learning"
5 / 5 papers shown
Title
Vision based driving agent for race car simulation environments
Gergely Bári
László Palkovics
39
1
0
14 Apr 2025
A Simulation Benchmark for Autonomous Racing with Large-Scale Human Data
Adrian Remonda
Nicklas Hansen
Ayoub Raji
Nicola Musiu
Marko Bertogna
Eduardo E. Veas
Xiaolong Wang
53
5
0
23 Jul 2024
Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning
Guangxiang Zhu
Minghao Zhang
Honglak Lee
Chongjie Zhang
OffRL
76
17
0
23 Oct 2020
Information Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving
Grady Williams
P. Drews
Brian Goldfain
James M. Rehg
Evangelos A. Theodorou
92
263
0
07 Jul 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
278
5,695
0
05 Dec 2016
1