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Variational Policy Gradient Method for Reinforcement Learning with
  General Utilities

Variational Policy Gradient Method for Reinforcement Learning with General Utilities

4 July 2020
Junyu Zhang
Alec Koppel
Amrit Singh Bedi
Csaba Szepesvári
Mengdi Wang
ArXivPDFHTML

Papers citing "Variational Policy Gradient Method for Reinforcement Learning with General Utilities"

26 / 26 papers shown
Title
Online Episodic Convex Reinforcement Learning
Online Episodic Convex Reinforcement Learning
B. Moreno
Khaled Eldowa
Pierre Gaillard
Margaux Brégère
Nadia Oudjane
OffRL
27
0
0
12 May 2025
Is there Value in Reinforcement Learning?
Is there Value in Reinforcement Learning?
Lior Fox
Y. Loewenstein
OffRL
61
0
0
07 May 2025
Zeroth-Order Policy Gradient for Reinforcement Learning from Human Feedback without Reward Inference
Zeroth-Order Policy Gradient for Reinforcement Learning from Human Feedback without Reward Inference
Qining Zhang
Lei Ying
OffRL
37
2
0
25 Sep 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
36
3
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
35
0
0
30 May 2024
A Dual Perspective of Reinforcement Learning for Imposing Policy Constraints
A Dual Perspective of Reinforcement Learning for Imposing Policy Constraints
Bram De Cooman
Johan A. K. Suykens
23
0
0
25 Apr 2024
Neural Network Approximation for Pessimistic Offline Reinforcement
  Learning
Neural Network Approximation for Pessimistic Offline Reinforcement Learning
Di Wu
Yuling Jiao
Li Shen
Haizhao Yang
Xiliang Lu
OffRL
27
1
0
19 Dec 2023
Policy Gradient Converges to the Globally Optimal Policy for Nearly Linear-Quadratic Regulators
Policy Gradient Converges to the Globally Optimal Policy for Nearly Linear-Quadratic Regulators
Yin-Huan Han
Meisam Razaviyayn
Renyuan Xu
22
5
0
15 Mar 2023
n-Step Temporal Difference Learning with Optimal n
n-Step Temporal Difference Learning with Optimal n
Lakshmi Mandal
S. Bhatnagar
16
2
0
13 Mar 2023
Scalable Multi-Agent Reinforcement Learning with General Utilities
Scalable Multi-Agent Reinforcement Learning with General Utilities
Donghao Ying
Yuhao Ding
Alec Koppel
Javad Lavaei
34
1
0
15 Feb 2023
Importance Weighted Actor-Critic for Optimal Conservative Offline
  Reinforcement Learning
Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learning
Hanlin Zhu
Paria Rashidinejad
Jiantao Jiao
OffRL
30
15
0
30 Jan 2023
Proximal Mean Field Learning in Shallow Neural Networks
Proximal Mean Field Learning in Shallow Neural Networks
Alexis M. H. Teter
Iman Nodozi
A. Halder
FedML
37
1
0
25 Oct 2022
Cross apprenticeship learning framework: Properties and solution
  approaches
Cross apprenticeship learning framework: Properties and solution approaches
A. Aravind
Debasish Chatterjee
A. Cherukuri
26
0
0
06 Sep 2022
Improved Policy Optimization for Online Imitation Learning
Improved Policy Optimization for Online Imitation Learning
J. Lavington
Sharan Vaswani
Mark W. Schmidt
OffRL
13
6
0
29 Jul 2022
Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective
  Reinforcement Learning
Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning
Ruida Zhou
Tao-Wen Liu
D. Kalathil
P. R. Kumar
Chao Tian
24
13
0
10 Jun 2022
Jump-Start Reinforcement Learning
Jump-Start Reinforcement Learning
Ikechukwu Uchendu
Ted Xiao
Yao Lu
Banghua Zhu
Mengyuan Yan
...
Chuyuan Fu
Cong Ma
Jiantao Jiao
Sergey Levine
Karol Hausman
OffRL
OnRL
33
107
0
05 Apr 2022
Challenging Common Assumptions in Convex Reinforcement Learning
Challenging Common Assumptions in Convex Reinforcement Learning
Mirco Mutti
Ric De Santi
Piersilvio De Bartolomeis
Marcello Restelli
OffRL
24
21
0
03 Feb 2022
Theoretical Guarantees of Fictitious Discount Algorithms for Episodic
  Reinforcement Learning and Global Convergence of Policy Gradient Methods
Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods
Xin Guo
Anran Hu
Junzi Zhang
OffRL
16
6
0
13 Sep 2021
Concave Utility Reinforcement Learning with Zero-Constraint Violations
Concave Utility Reinforcement Learning with Zero-Constraint Violations
Mridul Agarwal
Qinbo Bai
Vaneet Aggarwal
28
12
0
12 Sep 2021
Provable Benefits of Actor-Critic Methods for Offline Reinforcement
  Learning
Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning
Andrea Zanette
Martin J. Wainwright
Emma Brunskill
OffRL
29
111
0
19 Aug 2021
A general sample complexity analysis of vanilla policy gradient
A general sample complexity analysis of vanilla policy gradient
Rui Yuan
Robert Mansel Gower
A. Lazaric
69
62
0
23 Jul 2021
Concave Utility Reinforcement Learning: the Mean-Field Game Viewpoint
Concave Utility Reinforcement Learning: the Mean-Field Game Viewpoint
M. Geist
Julien Pérolat
Mathieu Laurière
Romuald Elie
Sarah Perrin
Olivier Bachem
Rémi Munos
Olivier Pietquin
21
62
0
07 Jun 2021
Finite-Sample Analysis of Off-Policy Natural Actor-Critic with Linear
  Function Approximation
Finite-Sample Analysis of Off-Policy Natural Actor-Critic with Linear Function Approximation
Zaiwei Chen
S. Khodadadian
S. T. Maguluri
OffRL
52
29
0
26 May 2021
On the Linear convergence of Natural Policy Gradient Algorithm
On the Linear convergence of Natural Policy Gradient Algorithm
S. Khodadadian
P. Jhunjhunwala
Sushil Mahavir Varma
S. T. Maguluri
30
56
0
04 May 2021
Is Pessimism Provably Efficient for Offline RL?
Is Pessimism Provably Efficient for Offline RL?
Ying Jin
Zhuoran Yang
Zhaoran Wang
OffRL
27
345
0
30 Dec 2020
Sample Efficient Reinforcement Learning with REINFORCE
Sample Efficient Reinforcement Learning with REINFORCE
Junzi Zhang
Jongho Kim
Brendan O'Donoghue
Stephen P. Boyd
35
99
0
22 Oct 2020
1