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Model-Based Uncertainty in Value Functions

Model-Based Uncertainty in Value Functions

24 February 2023
Carlos E. Luis
A. Bottero
Julia Vinogradska
Felix Berkenkamp
Jan Peters
ArXivPDFHTML

Papers citing "Model-Based Uncertainty in Value Functions"

12 / 12 papers shown
Title
IL-SOAR : Imitation Learning with Soft Optimistic Actor cRitic
IL-SOAR : Imitation Learning with Soft Optimistic Actor cRitic
Stefano Viel
Luca Viano
V. Cevher
74
0
0
27 Feb 2025
Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling
Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling
Shenghong He
OffRL
111
0
0
10 Feb 2025
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning
Abdullah Akgul
Manuel Haußmann
M. Kandemir
OffRL
64
1
0
17 Jan 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
Model-Based Epistemic Variance of Values for Risk-Aware Policy
  Optimization
Model-Based Epistemic Variance of Values for Risk-Aware Policy Optimization
Carlos E. Luis
A. Bottero
Julia Vinogradska
Felix Berkenkamp
Jan Peters
OffRL
29
3
0
07 Dec 2023
Probabilistic Inference in Reinforcement Learning Done Right
Probabilistic Inference in Reinforcement Learning Done Right
Jean Tarbouriech
Tor Lattimore
Brendan O'Donoghue
BDL
OffRL
13
4
0
22 Nov 2023
Bayesian Exploration Networks
Bayesian Exploration Networks
Matt Fellows
Brandon Kaplowitz
Christian Schroeder de Witt
Shimon Whiteson
BDL
31
3
0
24 Aug 2023
Value-Distributional Model-Based Reinforcement Learning
Value-Distributional Model-Based Reinforcement Learning
Carlos E. Luis
A. Bottero
Julia Vinogradska
Felix Berkenkamp
Jan Peters
OffRL
24
4
0
12 Aug 2023
Learning-based Near-optimal Motion Planning for Intelligent Vehicles
  with Uncertain Dynamics
Learning-based Near-optimal Motion Planning for Intelligent Vehicles with Uncertain Dynamics
Yang Lu
Xinglong Zhang
Xin Xu
Weijia Yao
16
4
0
07 Aug 2023
On-Policy Model Errors in Reinforcement Learning
On-Policy Model Errors in Reinforcement Learning
Lukas P. Frohlich
Maksym Lefarov
M. Zeilinger
Felix Berkenkamp
OnRL
49
6
0
15 Oct 2021
Uncertainty-Based Offline Reinforcement Learning with Diversified
  Q-Ensemble
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble
Gaon An
Seungyong Moon
Jang-Hyun Kim
Hyun Oh Song
OffRL
95
261
0
04 Oct 2021
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
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