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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

29 May 2024
Bernd Frauenknecht
Artur Eisele
Devdutt Subhasish
Friedrich Solowjow
Sebastian Trimpe
ArXivPDFHTML

Papers citing "Trust the Model Where It Trusts Itself -- Model-Based Actor-Critic with Uncertainty-Aware Rollout Adaption"

6 / 6 papers shown
Title
Zero-shot Model-based Reinforcement Learning using Large Language Models
Zero-shot Model-based Reinforcement Learning using Large Language Models
Abdelhakim Benechehab
Youssef Attia El Hili
Ambroise Odonnat
Oussama Zekri
Albert Thomas
Giuseppe Paolo
Maurizio Filippone
I. Redko
Balázs Kégl
OffRL
57
1
0
17 Feb 2025
Data-efficient Deep Reinforcement Learning for Vehicle Trajectory
  Control
Data-efficient Deep Reinforcement Learning for Vehicle Trajectory Control
Bernd Frauenknecht
Tobias Ehlgen
Sebastian Trimpe
24
3
0
30 Nov 2023
Conservative Bayesian Model-Based Value Expansion for Offline Policy
  Optimization
Conservative Bayesian Model-Based Value Expansion for Offline Policy Optimization
Jihwan Jeong
Xiaoyu Wang
Michael Gimelfarb
Hyunwoo J. Kim
Baher Abdulhai
Scott Sanner
OffRL
74
10
0
07 Oct 2022
On-Policy Model Errors in Reinforcement Learning
On-Policy Model Errors in Reinforcement Learning
Lukas P. Frohlich
Maksym Lefarov
M. Zeilinger
Felix Berkenkamp
OnRL
44
6
0
15 Oct 2021
Model-based Policy Optimization with Unsupervised Model Adaptation
Model-based Policy Optimization with Unsupervised Model Adaptation
Jian Shen
Han Zhao
Weinan Zhang
Yong Yu
27
27
0
19 Oct 2020
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
5,635
0
05 Dec 2016
1