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2006.13888
Cited By
RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning
24 June 2020
Çağlar Gülçehre
Ziyun Wang
Alexander Novikov
T. Paine
Sergio Gomez Colmenarejo
Konrad Zolna
Rishabh Agarwal
J. Merel
D. Mankowitz
Cosmin Paduraru
Gabriel Dulac-Arnold
J. Li
Mohammad Norouzi
Matthew W. Hoffman
Ofir Nachum
George Tucker
N. Heess
Nando de Freitas
OffRL
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Papers citing
"RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning"
18 / 18 papers shown
Title
Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning
Marcel Hussing
Jorge Armando Mendez Mendez
Anisha Singrodia
Cassandra Kent
Eric Eaton
OffRL
26
5
0
13 Jul 2023
Federated Offline Reinforcement Learning
D. Zhou
Yufeng Zhang
Aaron Sonabend-W
Zhaoran Wang
Junwei Lu
Tianxi Cai
OffRL
29
13
0
11 Jun 2022
Dataset Distillation by Matching Training Trajectories
George Cazenavette
Tongzhou Wang
Antonio Torralba
Alexei A. Efros
Jun-Yan Zhu
FedML
DD
45
363
0
22 Mar 2022
DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization
Aviral Kumar
Rishabh Agarwal
Tengyu Ma
Aaron Courville
George Tucker
Sergey Levine
OffRL
26
65
0
09 Dec 2021
Pessimistic Model Selection for Offline Deep Reinforcement Learning
Chao-Han Huck Yang
Zhengling Qi
Yifan Cui
Pin-Yu Chen
OffRL
16
4
0
29 Nov 2021
Measuring Data Quality for Dataset Selection in Offline Reinforcement Learning
Phillip Swazinna
Steffen Udluft
Thomas Runkler
OffRL
20
6
0
26 Nov 2021
RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning
Sabela Ramos
Sertan Girgin
Léonard Hussenot
Damien Vincent
Hanna Yakubovich
...
Piotr Stańczyk
Raphaël Marinier
Jeremiah Harmsen
Olivier Pietquin
Nikola Momchev
OffRL
27
23
0
04 Nov 2021
TRAIL: Near-Optimal Imitation Learning with Suboptimal Data
Mengjiao Yang
Sergey Levine
Ofir Nachum
OffRL
27
41
0
27 Oct 2021
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning
Tianhe Yu
Aviral Kumar
Yevgen Chebotar
Karol Hausman
Sergey Levine
Chelsea Finn
OffRL
24
78
0
16 Sep 2021
Implicit Behavioral Cloning
Peter R. Florence
Corey Lynch
Andy Zeng
Oscar Ramirez
Ayzaan Wahid
Laura Downs
Adrian S. Wong
Johnny Lee
Igor Mordatch
Jonathan Tompson
OffRL
49
369
0
01 Sep 2021
Offline RL Without Off-Policy Evaluation
David Brandfonbrener
William F. Whitney
Rajesh Ranganath
Joan Bruna
OffRL
42
161
0
16 Jun 2021
Benchmarks for Deep Off-Policy Evaluation
Justin Fu
Mohammad Norouzi
Ofir Nachum
George Tucker
Ziyun Wang
...
Yutian Chen
Aviral Kumar
Cosmin Paduraru
Sergey Levine
T. Paine
ELM
OffRL
33
100
0
30 Mar 2021
Regularized Behavior Value Estimation
Çağlar Gülçehre
Sergio Gomez Colmenarejo
Ziyun Wang
Jakub Sygnowski
T. Paine
Konrad Zolna
Yutian Chen
Matthew W. Hoffman
Razvan Pascanu
Nando de Freitas
OffRL
23
37
0
17 Mar 2021
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning
Samarth Sinha
Ajay Mandlekar
Animesh Garg
OffRL
24
104
0
10 Mar 2021
Offline Learning from Demonstrations and Unlabeled Experience
Konrad Zolna
Alexander Novikov
Ksenia Konyushkova
Çağlar Gülçehre
Ziyun Wang
Y. Aytar
Misha Denil
Nando de Freitas
Scott E. Reed
SSL
OffRL
21
65
0
27 Nov 2020
DeepAveragers: Offline Reinforcement Learning by Solving Derived Non-Parametric MDPs
Aayam Shrestha
Stefan Lee
Prasad Tadepalli
Alan Fern
OffRL
40
23
0
18 Oct 2020
Emergence of Locomotion Behaviours in Rich Environments
N. Heess
TB Dhruva
S. Sriram
Jay Lemmon
J. Merel
...
Tom Erez
Ziyun Wang
S. M. Ali Eslami
Martin Riedmiller
David Silver
131
928
0
07 Jul 2017
COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images
Andreas Veit
Tomas Matera
Lukás Neumann
Jirí Matas
Serge J. Belongie
188
515
0
26 Jan 2016
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