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CoBERL: Contrastive BERT for Reinforcement Learning
12 July 2021
Andrea Banino
Adria Puidomenech Badia
Jacob Walker
Tim Scholtes
Jovana Mitrović
Charles Blundell
OffRL
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Papers citing
"CoBERL: Contrastive BERT for Reinforcement Learning"
18 / 18 papers shown
Title
MarineFormer: A Transformer-based Navigation Policy Model for Collision Avoidance in Marine Environment
Ehsan Kazemi
Iman Soltani
397
2
0
17 Oct 2024
Contrastive Abstraction for Reinforcement Learning
Vihang Patil
M. Hofmarcher
Elisabeth Rumetshofer
Sepp Hochreiter
OffRL
SSL
107
2
0
01 Oct 2024
Learning Goal-Conditioned Representations for Language Reward Models
Vaskar Nath
Dylan Slack
Jeff Da
Yuntao Ma
Hugh Zhang
Spencer Whitehead
Sean Hendryx
56
0
0
18 Jul 2024
CORN: Contact-based Object Representation for Nonprehensile Manipulation of General Unseen Objects
Yoonyoung Cho
Junhyek Han
Yoontae Cho
Beomjoon Kim
115
8
0
16 Mar 2024
PASTA: Pretrained Action-State Transformer Agents
Raphael Boige
Yannis Flet-Berliac
Arthur Flajolet
Guillaume Richard
Thomas Pierrot
LM&Ro
OffRL
119
5
0
20 Jul 2023
Transformers in Reinforcement Learning: A Survey
Pranav Agarwal
A. Rahman
P. St-Charles
Simon J. D. Prince
Samira Ebrahimi Kahou
OffRL
106
21
0
12 Jul 2023
RePreM: Representation Pre-training with Masked Model for Reinforcement Learning
Yuanying Cai
Wei Shen
Wei Shen
Xuyun Zhang
Wenjie Ruan
Longbo Huang
OffRL
99
5
0
03 Mar 2023
SMART: Self-supervised Multi-task pretrAining with contRol Transformers
Yanchao Sun
Shuang Ma
Ratnesh Madaan
Rogerio Bonatti
Furong Huang
Ashish Kapoor
102
42
0
24 Jan 2023
A Survey on Transformers in Reinforcement Learning
Wenzhe Li
Hao Luo
Zichuan Lin
Chongjie Zhang
Zongqing Lu
Deheng Ye
OffRL
MU
AI4CE
128
58
0
08 Jan 2023
Transformer in Transformer as Backbone for Deep Reinforcement Learning
Hangyu Mao
Rui Zhao
Hao Chen
Jianye Hao
Yiqun Chen
Dong Li
Junge Zhang
Zhen Xiao
OffRL
93
8
0
30 Dec 2022
On Transforming Reinforcement Learning by Transformer: The Development Trajectory
Shengchao Hu
Li Shen
Ya Zhang
Yixin Chen
Dacheng Tao
OffRL
148
30
0
29 Dec 2022
Using Forwards-Backwards Models to Approximate MDP Homomorphisms
Augustine N. Mavor-Parker
Matthew J. Sargent
Christian Pehle
Andrea Banino
Lewis D. Griffin
Caswell Barry
64
1
0
14 Sep 2022
Light-weight probing of unsupervised representations for Reinforcement Learning
Wancong Zhang
Anthony GX-Chen
Vlad Sobal
Yann LeCun
Nicolas Carion
SSL
OffRL
76
14
0
25 Aug 2022
Retrieval-Augmented Reinforcement Learning
Anirudh Goyal
A. Friesen
Andrea Banino
T. Weber
Nan Rosemary Ke
...
Michal Valko
Simon Osindero
Timothy Lillicrap
N. Heess
Charles Blundell
OffRL
89
55
0
17 Feb 2022
Abstraction for Deep Reinforcement Learning
Murray Shanahan
Melanie Mitchell
OffRL
95
28
0
10 Feb 2022
Procedural Generalization by Planning with Self-Supervised World Models
Ankesh Anand
Jacob Walker
Yazhe Li
Eszter Vértes
Julian Schrittwieser
Sherjil Ozair
T. Weber
Jessica B. Hamrick
80
31
0
02 Nov 2021
Towards mental time travel: a hierarchical memory for reinforcement learning agents
Andrew Kyle Lampinen
Stephanie C. Y. Chan
Andrea Banino
Felix Hill
92
47
0
28 May 2021
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCL
SSL
346
4,109
0
17 Jun 2020
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