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Reinforcement Learning with General Utilities: Simpler Variance Reduction and Large State-Action Space

Reinforcement Learning with General Utilities: Simpler Variance Reduction and Large State-Action Space

Anas Barakat
Ilyas Fatkhullin
Niao He
ArXiv (abs)PDFHTML

Papers citing "Reinforcement Learning with General Utilities: Simpler Variance Reduction and Large State-Action Space"

8 / 8 papers shown
Title
Online Episodic Convex Reinforcement Learning
Online Episodic Convex Reinforcement Learning
B. Moreno
Khaled Eldowa
Pierre Gaillard
Margaux Brégère
Nadia Oudjane
OffRL
198
0
0
12 May 2025
From Gradient Clipping to Normalization for Heavy Tailed SGD
From Gradient Clipping to Normalization for Heavy Tailed SGD
Florian Hübler
Ilyas Fatkhullin
Niao He
113
10
0
17 Oct 2024
Global Reinforcement Learning: Beyond Linear and Convex Rewards via Submodular Semi-gradient Methods
Global Reinforcement Learning: Beyond Linear and Convex Rewards via Submodular Semi-gradient Methods
Ric De Santi
Manish Prajapat
Andreas Krause
97
5
0
13 Jul 2024
MetaCURL: Non-stationary Concave Utility Reinforcement Learning
MetaCURL: Non-stationary Concave Utility Reinforcement Learning
B. Moreno
Margaux Brégère
Pierre Gaillard
Nadia Oudjane
OffRL
91
1
0
30 May 2024
Off-OAB: Off-Policy Policy Gradient Method with Optimal Action-Dependent Baseline
Off-OAB: Off-Policy Policy Gradient Method with Optimal Action-Dependent Baseline
Wenjia Meng
Qian Zheng
Long Yang
Yilong Yin
Gang Pan
OffRL
89
0
0
04 May 2024
Taming Nonconvex Stochastic Mirror Descent with General Bregman Divergence
Taming Nonconvex Stochastic Mirror Descent with General Bregman Divergence
Ilyas Fatkhullin
Niao He
78
4
0
27 Feb 2024
On the Stochastic (Variance-Reduced) Proximal Gradient Method for Regularized Expected Reward Optimization
On the Stochastic (Variance-Reduced) Proximal Gradient Method for Regularized Expected Reward Optimization
Ling Liang
Haizhao Yang
60
1
0
23 Jan 2024
Inverse Reinforcement Learning with the Average Reward Criterion
Inverse Reinforcement Learning with the Average Reward Criterion
Feiyang Wu
Jingyang Ke
Anqi Wu
87
11
0
24 May 2023

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