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Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function
  Estimators for Reinforcement Learning

Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Estimators for Reinforcement Learning

23 September 2019
Gregory Farquhar
Shimon Whiteson
Jakob N. Foerster
ArXivPDFHTML

Papers citing "Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Estimators for Reinforcement Learning"

6 / 6 papers shown
Title
A Survey of Meta-Reinforcement Learning
A Survey of Meta-Reinforcement Learning
Jacob Beck
Risto Vuorio
E. Liu
Zheng Xiong
L. Zintgraf
Chelsea Finn
Shimon Whiteson
OOD
OffRL
37
124
0
19 Jan 2023
Proximal Learning With Opponent-Learning Awareness
Proximal Learning With Opponent-Learning Awareness
S. Zhao
Chris Xiaoxuan Lu
Roger C. Grosse
Jakob N. Foerster
34
21
0
18 Oct 2022
An Investigation of the Bias-Variance Tradeoff in Meta-Gradients
An Investigation of the Bias-Variance Tradeoff in Meta-Gradients
Risto Vuorio
Jacob Beck
Shimon Whiteson
Jakob N. Foerster
Gregory Farquhar
33
8
0
22 Sep 2022
Differentiable Particle Filtering without Modifying the Forward Pass
Differentiable Particle Filtering without Modifying the Forward Pass
Adam Scibior
Frank Wood
28
19
0
18 Jun 2021
Storchastic: A Framework for General Stochastic Automatic
  Differentiation
Storchastic: A Framework for General Stochastic Automatic Differentiation
Emile van Krieken
Jakub M. Tomczak
A. T. Teije
ODL
OffRL
31
15
0
01 Apr 2021
An Introduction to Deep Reinforcement Learning
An Introduction to Deep Reinforcement Learning
Vincent François-Lavet
Peter Henderson
Riashat Islam
Marc G. Bellemare
Joelle Pineau
OffRL
AI4CE
80
1,234
0
30 Nov 2018
1