ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2206.06614
  4. Cited By
Transformers are Meta-Reinforcement Learners

Transformers are Meta-Reinforcement Learners

14 June 2022
L. Melo
    OffRL
ArXivPDFHTML

Papers citing "Transformers are Meta-Reinforcement Learners"

39 / 39 papers shown
Title
Toward Task Generalization via Memory Augmentation in Meta-Reinforcement Learning
Toward Task Generalization via Memory Augmentation in Meta-Reinforcement Learning
Kaixi Bao
Chenhao Li
Yarden As
Andreas Krause
Marco Hutter
OffRL
CLL
111
1
0
03 Feb 2025
TIMRL: A Novel Meta-Reinforcement Learning Framework for Non-Stationary and Multi-Task Environments
TIMRL: A Novel Meta-Reinforcement Learning Framework for Non-Stationary and Multi-Task Environments
Chenyang Qi
Huiping Li
Panfeng Huang
OffRL
41
0
0
13 Jan 2025
AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers
Jake Grigsby
Justin Sasek
Samyak Parajuli
Daniel Adebi
Amy Zhang
Yuke Zhu
OffRL
26
2
0
17 Nov 2024
Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting
  Diversity
Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity
Robby Costales
Stefanos Nikolaidis
AI4CE
29
0
0
07 Nov 2024
MarineFormer: A Transformer-based Navigation Policy Model for Collision
  Avoidance in Marine Environment
MarineFormer: A Transformer-based Navigation Policy Model for Collision Avoidance in Marine Environment
Ehsan Kazemi
Iman Soltani
91
0
0
17 Oct 2024
ReLIC: A Recipe for 64k Steps of In-Context Reinforcement Learning for
  Embodied AI
ReLIC: A Recipe for 64k Steps of In-Context Reinforcement Learning for Embodied AI
Ahmad Elawady
Gunjan Chhablani
Ram Ramrakhya
Karmesh Yadav
Dhruv Batra
Z. Kira
Andrew Szot
OffRL
28
0
0
03 Oct 2024
Obstacle-Aware Quadrupedal Locomotion With Resilient Multi-Modal
  Reinforcement Learning
Obstacle-Aware Quadrupedal Locomotion With Resilient Multi-Modal Reinforcement Learning
I Made Aswin Nahrendra
Byeongho Yu
Minho Oh
Dongkyu Lee
Seunghyun Lee
Hyeonwoo Lee
Hyungtae Lim
Hyun Myung
128
2
0
29 Sep 2024
XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning
XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning
Alexander Nikulin
Ilya Zisman
Alexey Zemtsov
Viacheslav Sinii
105
4
0
13 Jun 2024
X-Light: Cross-City Traffic Signal Control Using Transformer on
  Transformer as Meta Multi-Agent Reinforcement Learner
X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner
Haoyuan Jiang
Ziyue Li
Hua Wei
Xuantang Xiong
Jingqing Ruan
Jiaming Lu
Hangyu Mao
Rui Zhao
25
8
0
18 Apr 2024
Inferring Behavior-Specific Context Improves Zero-Shot Generalization in
  Reinforcement Learning
Inferring Behavior-Specific Context Improves Zero-Shot Generalization in Reinforcement Learning
Tidiane Camaret Ndir
André Biedenkapp
Noor H. Awad
OffRL
38
1
0
15 Apr 2024
Enhancing IoT Intelligence: A Transformer-based Reinforcement Learning
  Methodology
Enhancing IoT Intelligence: A Transformer-based Reinforcement Learning Methodology
Gaith Rjoub
Saidul Islam
Jamal Bentahar
M. Almaiah
Rana Alrawashdeh
OffRL
21
1
0
05 Apr 2024
Dreaming of Many Worlds: Learning Contextual World Models Aids Zero-Shot
  Generalization
Dreaming of Many Worlds: Learning Contextual World Models Aids Zero-Shot Generalization
Sai Prasanna
Karim Farid
Raghu Rajan
André Biedenkapp
50
2
0
16 Mar 2024
Hierarchical Transformers are Efficient Meta-Reinforcement Learners
Hierarchical Transformers are Efficient Meta-Reinforcement Learners
Gresa Shala
André Biedenkapp
Josif Grabocka
OffRL
29
4
0
09 Feb 2024
Zero-Shot Reinforcement Learning via Function Encoders
Zero-Shot Reinforcement Learning via Function Encoders
Tyler Ingebrand
Amy Zhang
Ufuk Topcu
OffRL
35
2
0
30 Jan 2024
Generalization to New Sequential Decision Making Tasks with In-Context
  Learning
Generalization to New Sequential Decision Making Tasks with In-Context Learning
Sharath Chandra Raparthy
Eric Hambro
Robert Kirk
Mikael Henaff
Roberta Raileanu
OffRL
103
21
0
06 Dec 2023
Hypothesis Network Planned Exploration for Rapid Meta-Reinforcement
  Learning Adaptation
Hypothesis Network Planned Exploration for Rapid Meta-Reinforcement Learning Adaptation
Maxwell J. Jacobson
Yexiang Xue
31
0
0
07 Nov 2023
AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents
AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents
Jake Grigsby
Linxi Fan
Yuke Zhu
OffRL
LM&Ro
33
10
0
15 Oct 2023
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
24
18
0
12 Jul 2023
PID-Inspired Inductive Biases for Deep Reinforcement Learning in
  Partially Observable Control Tasks
PID-Inspired Inductive Biases for Deep Reinforcement Learning in Partially Observable Control Tasks
I. Char
J. Schneider
26
4
0
12 Jul 2023
When Do Transformers Shine in RL? Decoupling Memory from Credit
  Assignment
When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment
Tianwei Ni
Michel Ma
Benjamin Eysenbach
Pierre-Luc Bacon
OffRL
20
34
0
07 Jul 2023
RL$^3$: Boosting Meta Reinforcement Learning via RL inside RL$^2$
RL3^33: Boosting Meta Reinforcement Learning via RL inside RL2^22
Abhinav Bhatia
Samer B. Nashed
S. Zilberstein
OffRL
17
0
0
28 Jun 2023
Large Sequence Models for Sequential Decision-Making: A Survey
Large Sequence Models for Sequential Decision-Making: A Survey
Muning Wen
Runji Lin
Hanjing Wang
Yaodong Yang
Ying Wen
Luo Mai
J. Wang
Haifeng Zhang
Weinan Zhang
LM&Ro
LRM
37
35
0
24 Jun 2023
Recurrent Action Transformer with Memory
Recurrent Action Transformer with Memory
A. Staroverov
A. Bessonov
Dmitry A. Yudin
A. Kovalev
Aleksandr I. Panov
OffRL
33
4
0
15 Jun 2023
Unraveling the ARC Puzzle: Mimicking Human Solutions with Object-Centric
  Decision Transformer
Unraveling the ARC Puzzle: Mimicking Human Solutions with Object-Centric Decision Transformer
Jaehyun Park
Jaegyun Im
Sanha Hwang
Mintaek Lim
Sabina Ualibekova
Sejin Kim
Sundong Kim
AI4CE
17
12
0
14 Jun 2023
PACER: A Fully Push-forward-based Distributional Reinforcement Learning
  Algorithm
PACER: A Fully Push-forward-based Distributional Reinforcement Learning Algorithm
Wensong Bai
Chao Zhang
Yichao Fu
Lingwei Peng
Hui Qian
Bin Dai
19
1
0
11 Jun 2023
Emergent Agentic Transformer from Chain of Hindsight Experience
Emergent Agentic Transformer from Chain of Hindsight Experience
Hao Liu
Pieter Abbeel
OffRL
30
25
0
26 May 2023
On First-Order Meta-Reinforcement Learning with Moreau Envelopes
On First-Order Meta-Reinforcement Learning with Moreau Envelopes
Taha Toghani
Sebastian Perez-Salazar
César A. Uribe
29
2
0
20 May 2023
A Survey of Meta-Reinforcement Learning
A Survey of Meta-Reinforcement Learning
Jacob Beck
Risto Vuorio
E. Liu
Zheng Xiong
L. Zintgraf
Chelsea Finn
Shimon Whiteson
OOD
OffRL
34
121
0
19 Jan 2023
Human-Timescale Adaptation in an Open-Ended Task Space
Human-Timescale Adaptation in an Open-Ended Task Space
Adaptive Agent Team
Jakob Bauer
Kate Baumli
Satinder Baveja
Feryal M. P. Behbahani
...
Jakub Sygnowski
K. Tuyls
Sarah York
Alexander Zacherl
Lei Zhang
LM&Ro
OffRL
AI4CE
LRM
30
108
0
18 Jan 2023
A Survey on Transformers in Reinforcement Learning
A Survey on Transformers in Reinforcement Learning
Wenzhe Li
Hao Luo
Zichuan Lin
Chongjie Zhang
Zongqing Lu
Deheng Ye
OffRL
MU
AI4CE
35
55
0
08 Jan 2023
Transformer in Transformer as Backbone for Deep Reinforcement Learning
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
31
8
0
30 Dec 2022
Sim-to-Real Transfer for Quadrupedal Locomotion via Terrain Transformer
Sim-to-Real Transfer for Quadrupedal Locomotion via Terrain Transformer
Hang Lai
Weinan Zhang
Xialin He
Chen Yu
Zheng Tian
Yong Yu
Jun Wang
14
20
0
15 Dec 2022
Memory in humans and deep language models: Linking hypotheses for model
  augmentation
Memory in humans and deep language models: Linking hypotheses for model augmentation
Omri Raccah
Pheobe Chen
Ted Willke
David Poeppel
Vy A. Vo
RALM
13
1
0
04 Oct 2022
Meta-Reinforcement Learning with Self-Modifying Networks
Meta-Reinforcement Learning with Self-Modifying Networks
Mathieu Chalvidal
Thomas Serre
Rufin VanRullen
KELM
12
5
0
04 Feb 2022
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
314
5,773
0
29 Apr 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
CLL
OffRL
36
307
0
25 Dec 2020
Probabilistic Model-Agnostic Meta-Learning
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn
Kelvin Xu
Sergey Levine
BDL
165
666
0
07 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
314
11,681
0
09 Mar 2017
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,326
0
05 Nov 2016
1