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Variance Reduction for Policy-Gradient Methods via Empirical Variance
  Minimization

Variance Reduction for Policy-Gradient Methods via Empirical Variance Minimization

14 June 2022
Maxim Kaledin
Alexander Golubev
Denis Belomestny
    OffRL
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Papers citing "Variance Reduction for Policy-Gradient Methods via Empirical Variance Minimization"

3 / 3 papers shown
Title
Tackling Decision Processes with Non-Cumulative Objectives using
  Reinforcement Learning
Tackling Decision Processes with Non-Cumulative Objectives using Reinforcement Learning
Maximilian Nägele
Jan Olle
Thomas Fösel
Remmy Zen
Florian Marquardt
38
2
0
22 May 2024
Taylor TD-learning
Taylor TD-learning
Michele Garibbo
Maxime Robeyns
Laurence Aitchison
OffRL
23
1
0
27 Feb 2023
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