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Selective Dyna-style Planning Under Limited Model Capacity

Selective Dyna-style Planning Under Limited Model Capacity

5 July 2020
Zaheer Abbas
Samuel Sokota
Erin J. Talvitie
Martha White
ArXivPDFHTML

Papers citing "Selective Dyna-style Planning Under Limited Model Capacity"

9 / 9 papers shown
Title
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
78
1
0
17 Jan 2025
Meta-Gradient Search Control: A Method for Improving the Efficiency of
  Dyna-style Planning
Meta-Gradient Search Control: A Method for Improving the Efficiency of Dyna-style Planning
Bradley Burega
John D. Martin
Luke Kapeluck
Michael Bowling
40
0
0
27 Jun 2024
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
54
5
0
29 May 2024
Distillation Policy Optimization
Distillation Policy Optimization
Jianfei Ma
OffRL
26
1
0
01 Feb 2023
Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent
  Reinforcement Learning
Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning
Zhiwei Xu
Dapeng Li
Bin Zhang
Yuan Zhan
Yunru Bai
Guoliang Fan
OffRL
27
7
0
20 Apr 2022
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
105
265
0
04 Oct 2021
Dynamic Horizon Value Estimation for Model-based Reinforcement Learning
Dynamic Horizon Value Estimation for Model-based Reinforcement Learning
Junjie Wang
Qichao Zhang
Dongbin Zhao
Mengchen Zhao
Jianye Hao
OffRL
21
5
0
21 Sep 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
276
5,695
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,167
0
06 Jun 2015
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