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Representations for Stable Off-Policy Reinforcement Learning

Representations for Stable Off-Policy Reinforcement Learning

10 July 2020
Dibya Ghosh
Marc G. Bellemare
    OffRL
    SSL
    OOD
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Papers citing "Representations for Stable Off-Policy Reinforcement Learning"

13 / 13 papers shown
Title
MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL
MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL
C. Voelcker
Marcel Hussing
Eric Eaton
Amir-massoud Farahmand
Igor Gilitschenski
46
2
0
11 Oct 2024
Disentangling Recognition and Decision Regrets in Image-Based Reinforcement Learning
Disentangling Recognition and Decision Regrets in Image-Based Reinforcement Learning
Alihan Hüyük
A. R. Koblitz
Atefeh Mohajeri
M. Andrews
OffRL
45
0
0
19 Sep 2024
Transformers in Reinforcement Learning: A Survey
Transformers in Reinforcement Learning: A Survey
Pranav Agarwal
A. Rahman
P. St-Charles
Simon J. D. Prince
Samira Ebrahimi Kahou
OffRL
37
19
0
12 Jul 2023
TD Convergence: An Optimization Perspective
TD Convergence: An Optimization Perspective
Kavosh Asadi
Shoham Sabach
Yao Liu
Omer Gottesman
Rasool Fakoor
MU
25
8
0
30 Jun 2023
Representations and Exploration for Deep Reinforcement Learning using
  Singular Value Decomposition
Representations and Exploration for Deep Reinforcement Learning using Singular Value Decomposition
Yash Chandak
S. Thakoor
Z. Guo
Yunhao Tang
Rémi Munos
Will Dabney
Diana Borsa
32
2
0
01 May 2023
The Ladder in Chaos: A Simple and Effective Improvement to General DRL
  Algorithms by Policy Path Trimming and Boosting
The Ladder in Chaos: A Simple and Effective Improvement to General DRL Algorithms by Policy Path Trimming and Boosting
Hongyao Tang
Hao Fei
Jianye Hao
28
1
0
02 Mar 2023
Spectral Decomposition Representation for Reinforcement Learning
Spectral Decomposition Representation for Reinforcement Learning
Tongzheng Ren
Tianjun Zhang
Lisa Lee
Joseph E. Gonzalez
Dale Schuurmans
Bo Dai
OffRL
40
27
0
19 Aug 2022
A Tutorial on the Spectral Theory of Markov Chains
A Tutorial on the Spectral Theory of Markov Chains
E. Seabrook
Laurenz Wiskott
35
16
0
05 Jul 2022
Learning Dynamics and Generalization in Reinforcement Learning
Learning Dynamics and Generalization in Reinforcement Learning
Clare Lyle
Mark Rowland
Will Dabney
Marta Z. Kwiatkowska
Y. Gal
OOD
OffRL
30
12
0
05 Jun 2022
Understanding and Preventing Capacity Loss in Reinforcement Learning
Understanding and Preventing Capacity Loss in Reinforcement Learning
Clare Lyle
Mark Rowland
Will Dabney
CLL
41
110
0
20 Apr 2022
DR3: Value-Based Deep Reinforcement Learning Requires Explicit
  Regularization
DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization
Aviral Kumar
Rishabh Agarwal
Tengyu Ma
Aaron Courville
George Tucker
Sergey Levine
OffRL
31
65
0
09 Dec 2021
A Workflow for Offline Model-Free Robotic Reinforcement Learning
A Workflow for Offline Model-Free Robotic Reinforcement Learning
Aviral Kumar
Anika Singh
Stephen Tian
Chelsea Finn
Sergey Levine
OffRL
143
85
0
22 Sep 2021
Online Service Migration in Mobile Edge with Incomplete System
  Information: A Deep Recurrent Actor-Critic Learning Approach
Online Service Migration in Mobile Edge with Incomplete System Information: A Deep Recurrent Actor-Critic Learning Approach
Jin Wang
Jia Hu
Geyong Min
Qiang Ni
Tarek A. El-Ghazawi
26
28
0
16 Dec 2020
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