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RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement
  Learning

RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning

4 November 2021
Sabela Ramos
Sertan Girgin
Léonard Hussenot
Damien Vincent
Hanna Yakubovich
Daniel Toyama
Anita Gergely
Piotr Stańczyk
Raphaël Marinier
Jeremiah Harmsen
Olivier Pietquin
Nikola Momchev
    OffRL
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Papers citing "RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning"

17 / 17 papers shown
Title
Multi-agent Embodied AI: Advances and Future Directions
Multi-agent Embodied AI: Advances and Future Directions
Zhaohan Feng
Ruiqi Xue
Lei Yuan
Yang Yu
Ning Ding
M. Liu
Bingzhao Gao
Jian-jun Sun
Gang Wang
AI4CE
57
1
0
08 May 2025
Advances in Transformers for Robotic Applications: A Review
Advances in Transformers for Robotic Applications: A Review
Nikunj Sanghai
Nik Bear Brown
AI4CE
75
0
0
13 Dec 2024
Just Add Force for Contact-Rich Robot Policies
Just Add Force for Contact-Rich Robot Policies
William Xie
Stefan Caldararu
N. Correll
OffRL
27
0
0
17 Oct 2024
RP1M: A Large-Scale Motion Dataset for Piano Playing with Bi-Manual
  Dexterous Robot Hands
RP1M: A Large-Scale Motion Dataset for Piano Playing with Bi-Manual Dexterous Robot Hands
Yi Zhao
Le Chen
Jan Schneider
Quankai Gao
Juho Kannala
Bernhard Scholkopf
J. Pajarinen
Dieter Buchler
25
1
0
20 Aug 2024
Pushing the Limits of Cross-Embodiment Learning for Manipulation and
  Navigation
Pushing the Limits of Cross-Embodiment Learning for Manipulation and Navigation
Jonathan Yang
Catherine Glossop
Arjun Bhorkar
Dhruv Shah
Quan Vuong
Chelsea Finn
Dorsa Sadigh
Sergey Levine
36
41
0
29 Feb 2024
The Generalization Gap in Offline Reinforcement Learning
The Generalization Gap in Offline Reinforcement Learning
Ishita Mediratta
Qingfei You
Minqi Jiang
Roberta Raileanu
OffRL
78
10
0
10 Dec 2023
Similarity-based Knowledge Transfer for Cross-Domain Reinforcement
  Learning
Similarity-based Knowledge Transfer for Cross-Domain Reinforcement Learning
Sergio A. Serrano
J. Martínez-Carranza
L. Sucar
28
2
0
05 Dec 2023
Advances in Embodied Navigation Using Large Language Models: A Survey
Advances in Embodied Navigation Using Large Language Models: A Survey
Jinzhou Lin
Han Gao
Xuxiang Feng
Rongtao Xu
Changwei Wang
Man Zhang
Li Guo
Shibiao Xu
LM&Ro
LLMAG
66
9
0
01 Nov 2023
Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Open X-Embodiment Collaboration
Abby OÑeill
Abdul Rehman
Abhinav Gupta
Abhiram Maddukuri
...
Zhuo Xu
Zichen Jeff Cui
Zichen Zhang
Zipeng Fu
Zipeng Lin
LM&Ro
42
459
0
13 Oct 2023
ArchGym: An Open-Source Gymnasium for Machine Learning Assisted
  Architecture Design
ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture Design
Srivatsan Krishnan
Amir Yazdanbaksh
Shvetank Prakash
Jason J. Jabbour
Ikechukwu Uchendu
...
Behzad Boroujerdian
Daniel Richins
Devashree Tripathy
Aleksandra Faust
Vijay Janapa Reddi
43
11
0
15 Jun 2023
Coherent Soft Imitation Learning
Coherent Soft Imitation Learning
Joe Watson
Sandy H. Huang
Nicholas Heess
30
11
0
25 May 2023
Dungeons and Data: A Large-Scale NetHack Dataset
Dungeons and Data: A Large-Scale NetHack Dataset
Eric Hambro
Roberta Raileanu
Dan Rothermel
Vegard Mella
Tim Rocktaschel
Heinrich Küttler
Naila Murray
OffRL
126
18
0
01 Nov 2022
Beyond Rewards: a Hierarchical Perspective on Offline Multiagent
  Behavioral Analysis
Beyond Rewards: a Hierarchical Perspective on Offline Multiagent Behavioral Analysis
Shayegan Omidshafiei
A. Kapishnikov
Yannick Assogba
Lucas Dixon
Been Kim
OffRL
31
5
0
17 Jun 2022
What Matters in Learning from Offline Human Demonstrations for Robot
  Manipulation
What Matters in Learning from Offline Human Demonstrations for Robot Manipulation
Ajay Mandlekar
Danfei Xu
J. Wong
Soroush Nasiriany
Chen Wang
Rohun Kulkarni
Li Fei-Fei
Silvio Savarese
Yuke Zhu
Roberto Martín-Martín
OffRL
147
471
0
06 Aug 2021
Robust Imitation Learning from Noisy Demonstrations
Robust Imitation Learning from Noisy Demonstrations
Voot Tangkaratt
Nontawat Charoenphakdee
Masashi Sugiyama
NoLa
38
26
0
20 Oct 2020
Acme: A Research Framework for Distributed Reinforcement Learning
Acme: A Research Framework for Distributed Reinforcement Learning
Matthew W. Hoffman
Bobak Shahriari
John Aslanides
Gabriel Barth-Maron
Nikola Momchev
...
Srivatsan Srinivasan
A. Cowie
Ziyun Wang
Bilal Piot
Nando de Freitas
44
225
0
01 Jun 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
334
1,951
0
04 May 2020
1