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Value Improved Actor Critic Algorithms

Value Improved Actor Critic Algorithms

3 June 2024
Yaniv Oren
Moritz A. Zanger
Pascal R. van der Vaart
M. Spaan
Wendelin Bohmer
Wendelin Bohmer
    OffRL
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Papers citing "Value Improved Actor Critic Algorithms"

26 / 26 papers shown
Title
For SALE: State-Action Representation Learning for Deep Reinforcement
  Learning
For SALE: State-Action Representation Learning for Deep Reinforcement Learning
Scott Fujimoto
Wei-Di Chang
Edward James Smith
S. Gu
Doina Precup
David Meger
OffRL
56
50
0
04 Jun 2023
Offline Reinforcement Learning with Closed-Form Policy Improvement
  Operators
Offline Reinforcement Learning with Closed-Form Policy Improvement Operators
Jiachen Li
Edwin Zhang
Ming Yin
Qinxun Bai
Yu Wang
William Yang Wang
OffRL
55
15
0
29 Nov 2022
Mastering Atari Games with Limited Data
Mastering Atari Games with Limited Data
Weirui Ye
Shao-Wei Liu
Thanard Kurutach
Pieter Abbeel
Yang Gao
VLM
97
234
0
30 Oct 2021
Offline Reinforcement Learning with Implicit Q-Learning
Offline Reinforcement Learning with Implicit Q-Learning
Ilya Kostrikov
Ashvin Nair
Sergey Levine
OffRL
272
895
0
12 Oct 2021
Greedification Operators for Policy Optimization: Investigating Forward
  and Reverse KL Divergences
Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL Divergences
Alan Chan
Hugo Silva
Sungsu Lim
Tadashi Kozuno
A. R. Mahmood
Martha White
42
30
0
17 Jul 2021
Online and Offline Reinforcement Learning by Planning with a Learned
  Model
Online and Offline Reinforcement Learning by Planning with a Learned Model
Julian Schrittwieser
Thomas Hubert
Amol Mandhane
M. Barekatain
Ioannis Antonoglou
David Silver
OffRL
53
116
0
13 Apr 2021
Muesli: Combining Improvements in Policy Optimization
Muesli: Combining Improvements in Policy Optimization
Matteo Hessel
Ivo Danihelka
Fabio Viola
A. Guez
Simon Schmitt
Laurent Sifre
T. Weber
David Silver
H. V. Hasselt
57
66
0
13 Apr 2021
Convergence Proof for Actor-Critic Methods Applied to PPO and RUDDER
Convergence Proof for Actor-Critic Methods Applied to PPO and RUDDER
Markus Holzleitner
Lukas Gruber
Jose A. Arjona-Medina
Johannes Brandstetter
Sepp Hochreiter
47
38
0
02 Dec 2020
Monte-Carlo Tree Search as Regularized Policy Optimization
Monte-Carlo Tree Search as Regularized Policy Optimization
Jean-Bastien Grill
Florent Altché
Yunhao Tang
Thomas Hubert
Michal Valko
Ioannis Antonoglou
Rémi Munos
57
74
0
24 Jul 2020
An operator view of policy gradient methods
An operator view of policy gradient methods
Dibya Ghosh
Marlos C. Machado
Nicolas Le Roux
OffRL
33
27
0
19 Jun 2020
Non-asymptotic Convergence Analysis of Two Time-scale (Natural)
  Actor-Critic Algorithms
Non-asymptotic Convergence Analysis of Two Time-scale (Natural) Actor-Critic Algorithms
Tengyu Xu
Zhe Wang
Yingbin Liang
64
58
0
07 May 2020
On the Convergence of Approximate and Regularized Policy Iteration
  Schemes
On the Convergence of Approximate and Regularized Policy Iteration Schemes
E. Smirnova
Elvis Dohmatob
30
5
0
20 Sep 2019
Soft Actor-Critic Algorithms and Applications
Soft Actor-Critic Algorithms and Applications
Tuomas Haarnoja
Aurick Zhou
Kristian Hartikainen
George Tucker
Sehoon Ha
...
Vikash Kumar
Henry Zhu
Abhishek Gupta
Pieter Abbeel
Sergey Levine
116
2,418
0
13 Dec 2018
Greedy Actor-Critic: A New Conditional Cross-Entropy Method for Policy
  Improvement
Greedy Actor-Critic: A New Conditional Cross-Entropy Method for Policy Improvement
Samuel Neumann
Sungsu Lim
A. Joseph
Yangchen Pan
Adam White
Martha White
102
7
0
22 Oct 2018
Maximum a Posteriori Policy Optimisation
Maximum a Posteriori Policy Optimisation
A. Abdolmaleki
Jost Tobias Springenberg
Yuval Tassa
Rémi Munos
N. Heess
Martin Riedmiller
69
476
0
14 Jun 2018
Addressing Function Approximation Error in Actor-Critic Methods
Addressing Function Approximation Error in Actor-Critic Methods
Scott Fujimoto
H. V. Hoof
David Meger
OffRL
167
5,161
0
26 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement
  Learning with a Stochastic Actor
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
256
8,303
0
04 Jan 2018
DeepMind Control Suite
DeepMind Control Suite
Yuval Tassa
Yotam Doron
Alistair Muldal
Tom Erez
Yazhe Li
...
A. Abdolmaleki
J. Merel
Andrew Lefrancq
Timothy Lillicrap
Martin Riedmiller
ELM
LM&Ro
BDL
120
1,126
0
02 Jan 2018
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
319
18,906
0
20 Jul 2017
Equivalence Between Policy Gradients and Soft Q-Learning
Equivalence Between Policy Gradients and Soft Q-Learning
John Schulman
Xi Chen
Pieter Abbeel
OffRL
74
345
0
21 Apr 2017
Bridging the Gap Between Value and Policy Based Reinforcement Learning
Bridging the Gap Between Value and Policy Based Reinforcement Learning
Ofir Nachum
Mohammad Norouzi
Kelvin Xu
Dale Schuurmans
142
470
0
28 Feb 2017
Layer Normalization
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
328
10,464
0
21 Jul 2016
Taming the Noise in Reinforcement Learning via Soft Updates
Taming the Noise in Reinforcement Learning via Soft Updates
Roy Fox
Ari Pakman
Naftali Tishby
55
338
0
28 Dec 2015
Deep Reinforcement Learning with Double Q-learning
Deep Reinforcement Learning with Double Q-learning
H. V. Hasselt
A. Guez
David Silver
OffRL
146
7,621
0
22 Sep 2015
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
283
13,208
0
09 Sep 2015
Playing Atari with Deep Reinforcement Learning
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih
Koray Kavukcuoglu
David Silver
Alex Graves
Ioannis Antonoglou
Daan Wierstra
Martin Riedmiller
112
12,201
0
19 Dec 2013
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