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A Dataset Perspective on Offline Reinforcement Learning
v1v2 (latest)

A Dataset Perspective on Offline Reinforcement Learning

8 November 2021
Kajetan Schweighofer
Andreas Radler
Marius-Constantin Dinu
M. Hofmarcher
Vihang Patil
Angela Bitto-Nemling
Hamid Eghbalzadeh
Sepp Hochreiter
    OffRL
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Papers citing "A Dataset Perspective on Offline Reinforcement Learning"

25 / 25 papers shown
Title
Yes, Q-learning Helps Offline In-Context RL
Yes, Q-learning Helps Offline In-Context RL
Denis Tarasov
Alexander Nikulin
Ilya Zisman
Albina Klepach
Andrei Polubarov
Nikita Lyubaykin
Alexander Derevyagin
Igor Kiselev
Vladislav Kurenkov
OffRLOnRL
477
3
0
24 Feb 2025
A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks
A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks
Thomas Schmied
Thomas Adler
Vihang Patil
M. Beck
Korbinian Poppel
Johannes Brandstetter
Günter Klambauer
Razvan Pascanu
Sepp Hochreiter
201
7
0
29 Oct 2024
A Theory of Abstraction in Reinforcement Learning
A Theory of Abstraction in Reinforcement Learning
David Abel
OffRL
51
29
0
01 Mar 2022
Comparing Model-free and Model-based Algorithms for Offline
  Reinforcement Learning
Comparing Model-free and Model-based Algorithms for Offline Reinforcement Learning
Phillip Swazinna
Steffen Udluft
D. Hein
Thomas Runkler
OffRL
51
26
0
14 Jan 2022
A Minimalist Approach to Offline Reinforcement Learning
A Minimalist Approach to Offline Reinforcement Learning
Scott Fujimoto
S. Gu
OffRL
132
828
0
12 Jun 2021
Flow Network based Generative Models for Non-Iterative Diverse Candidate
  Generation
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation
Emmanuel Bengio
Moksh Jain
Maksym Korablyov
Doina Precup
Yoshua Bengio
103
333
0
08 Jun 2021
Towards Continual Reinforcement Learning: A Review and Perspectives
Towards Continual Reinforcement Learning: A Review and Perspectives
Khimya Khetarpal
Matthew D Riemer
Irina Rish
Doina Precup
CLLOffRL
109
323
0
25 Dec 2020
Cross-Domain Few-Shot Learning by Representation Fusion
Cross-Domain Few-Shot Learning by Representation Fusion
Thomas Adler
Johannes Brandstetter
Michael Widrich
Andreas Mayr
David P. Kreil
Michael K Kopp
Günter Klambauer
Sepp Hochreiter
OOD
73
45
0
13 Oct 2020
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning
Elise van der Pol
Daniel E. Worrall
H. V. Hoof
F. Oliehoek
Max Welling
BDLAI4CE
80
162
0
30 Jun 2020
Critic Regularized Regression
Critic Regularized Regression
Ziyun Wang
Alexander Novikov
Konrad Zolna
Jost Tobias Springenberg
Scott E. Reed
...
Noah Y. Siegel
J. Merel
Çağlar Gülçehre
N. Heess
Nando de Freitas
OffRL
160
330
0
26 Jun 2020
RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning
RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning
Çağlar Gülçehre
Ziyun Wang
Alexander Novikov
T. Paine
Sergio Gomez Colmenarejo
...
Matthew W. Hoffman
Ofir Nachum
George Tucker
N. Heess
Nando de Freitas
OffRL
81
72
0
24 Jun 2020
Conservative Q-Learning for Offline Reinforcement Learning
Conservative Q-Learning for Offline Reinforcement Learning
Aviral Kumar
Aurick Zhou
George Tucker
Sergey Levine
OffRLOnRL
143
1,831
0
08 Jun 2020
D4RL: Datasets for Deep Data-Driven Reinforcement Learning
D4RL: Datasets for Deep Data-Driven Reinforcement Learning
Justin Fu
Aviral Kumar
Ofir Nachum
George Tucker
Sergey Levine
GPOffRL
229
1,381
0
15 Apr 2020
Behavior Regularized Offline Reinforcement Learning
Behavior Regularized Offline Reinforcement Learning
Yifan Wu
George Tucker
Ofir Nachum
OffRL
97
689
0
26 Nov 2019
RoboNet: Large-Scale Multi-Robot Learning
RoboNet: Large-Scale Multi-Robot Learning
Sudeep Dasari
F. Ebert
Stephen Tian
Suraj Nair
Bernadette Bucher
Karl Schmeckpeper
Siddharth Singh
Sergey Levine
Chelsea Finn
LM&Ro
89
303
0
24 Oct 2019
Benchmarking Batch Deep Reinforcement Learning Algorithms
Benchmarking Batch Deep Reinforcement Learning Algorithms
Shih-Han Chou
Wen-Yen Chang
W. Hsu
Jianlong Fu
OffRL
63
185
0
03 Oct 2019
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction
Aviral Kumar
Justin Fu
George Tucker
Sergey Levine
OffRLOnRL
134
1,066
0
03 Jun 2019
Challenges of Real-World Reinforcement Learning
Challenges of Real-World Reinforcement Learning
Gabriel Dulac-Arnold
D. Mankowitz
Todd Hester
OffRL
88
549
0
29 Apr 2019
A review of domain adaptation without target labels
A review of domain adaptation without target labels
Wouter M. Kouw
Marco Loog
OODVLM
48
488
0
16 Jan 2019
Off-Policy Deep Reinforcement Learning without Exploration
Off-Policy Deep Reinforcement Learning without Exploration
Scott Fujimoto
David Meger
Doina Precup
OffRLBDL
246
1,624
0
07 Dec 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
317
8,406
0
04 Jan 2018
Distributional Reinforcement Learning with Quantile Regression
Distributional Reinforcement Learning with Quantile Regression
Will Dabney
Mark Rowland
Marc G. Bellemare
Rémi Munos
94
762
0
27 Oct 2017
Self-Normalizing Neural Networks
Self-Normalizing Neural Networks
Günter Klambauer
Thomas Unterthiner
Andreas Mayr
Sepp Hochreiter
470
2,519
0
08 Jun 2017
Generative Adversarial Imitation Learning
Generative Adversarial Imitation Learning
Jonathan Ho
Stefano Ermon
GAN
159
3,119
0
10 Jun 2016
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
129
12,265
0
19 Dec 2013
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