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On Transforming Reinforcement Learning by Transformer: The Development
  Trajectory

On Transforming Reinforcement Learning by Transformer: The Development Trajectory

29 December 2022
Shengchao Hu
Li Shen
Ya-Qin Zhang
Yixin Chen
Dacheng Tao
    OffRL
ArXivPDFHTML

Papers citing "On Transforming Reinforcement Learning by Transformer: The Development Trajectory"

20 / 20 papers shown
Title
Neuro-LIFT: A Neuromorphic, LLM-based Interactive Framework for Autonomous Drone FlighT at the Edge
Neuro-LIFT: A Neuromorphic, LLM-based Interactive Framework for Autonomous Drone FlighT at the Edge
Amogh Joshi
Sourav Sanyal
Kaushik Roy
61
2
0
31 Jan 2025
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
18
8
0
30 Dec 2022
Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation
Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation
Mohit Shridhar
Lucas Manuelli
D. Fox
LM&Ro
141
449
0
12 Sep 2022
Instruction-driven history-aware policies for robotic manipulations
Instruction-driven history-aware policies for robotic manipulations
Pierre-Louis Guhur
Shizhe Chen
Ricardo Garcia Pinel
Makarand Tapaswi
Ivan Laptev
Cordelia Schmid
LM&Ro
89
101
0
11 Sep 2022
Q-learning Decision Transformer: Leveraging Dynamic Programming for
  Conditional Sequence Modelling in Offline RL
Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL
Taku Yamagata
Ahmed Khalil
Raúl Santos-Rodríguez
OffRL
142
70
0
08 Sep 2022
You Can't Count on Luck: Why Decision Transformers and RvS Fail in
  Stochastic Environments
You Can't Count on Luck: Why Decision Transformers and RvS Fail in Stochastic Environments
Keiran Paster
Sheila A. McIlraith
Jimmy Ba
OffRL
121
27
0
31 May 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
301
11,730
0
04 Mar 2022
Can Wikipedia Help Offline Reinforcement Learning?
Can Wikipedia Help Offline Reinforcement Learning?
Machel Reid
Yutaro Yamada
S. Gu
3DV
RALM
OffRL
124
95
0
28 Jan 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh
Albert Webson
Colin Raffel
Stephen H. Bach
Lintang Sutawika
...
T. Bers
Stella Biderman
Leo Gao
Thomas Wolf
Alexander M. Rush
LRM
203
1,651
0
15 Oct 2021
Offline Reinforcement Learning with Implicit Q-Learning
Offline Reinforcement Learning with Implicit Q-Learning
Ilya Kostrikov
Ashvin Nair
Sergey Levine
OffRL
203
627
0
12 Oct 2021
Augmenting Sequential Recommendation with Pseudo-Prior Items via
  Reversely Pre-training Transformer
Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer
Zhiwei Liu
Ziwei Fan
Yu Wang
Philip S. Yu
86
143
0
02 May 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
253
4,735
0
24 Feb 2021
COMBO: Conservative Offline Model-Based Policy Optimization
COMBO: Conservative Offline Model-Based Policy Optimization
Tianhe Yu
Aviral Kumar
Rafael Rafailov
Aravind Rajeswaran
Sergey Levine
Chelsea Finn
OffRL
194
412
0
16 Feb 2021
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning
Rongjun Qin
Songyi Gao
Xingyuan Zhang
Zhen Xu
Shengkai Huang
Zewen Li
Weinan Zhang
Yang Yu
OffRL
132
76
0
01 Feb 2021
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
321
1,662
0
04 May 2020
Diverse and Admissible Trajectory Forecasting through Multimodal Context
  Understanding
Diverse and Admissible Trajectory Forecasting through Multimodal Context Understanding
Seonguk Park
Gyubok Lee
Manoj Bhat
Jimin Seo
Minseok Kang
Jonathan M Francis
Ashwin R. Jadhav
Paul Pu Liang
Louis-Philippe Morency
113
117
0
06 Mar 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey
Deep Reinforcement Learning for Autonomous Driving: A Survey
B. R. Kiran
Ibrahim Sobh
V. Talpaert
Patrick Mannion
A. A. Sallab
S. Yogamani
P. Pérez
137
1,599
0
02 Feb 2020
Help, Anna! Visual Navigation with Natural Multimodal Assistance via
  Retrospective Curiosity-Encouraging Imitation Learning
Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning
Khanh Nguyen
Hal Daumé
LM&Ro
EgoV
167
148
0
04 Sep 2019
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
234
11,568
0
09 Mar 2017
A Decomposable Attention Model for Natural Language Inference
A Decomposable Attention Model for Natural Language Inference
Ankur P. Parikh
Oscar Täckström
Dipanjan Das
Jakob Uszkoreit
187
1,358
0
06 Jun 2016
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