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PASTA: Pretrained Action-State Transformer Agents

PASTA: Pretrained Action-State Transformer Agents

20 July 2023
Raphael Boige
Yannis Flet-Berliac
Arthur Flajolet
Guillaume Richard
Thomas Pierrot
    LM&Ro
    OffRL
ArXivPDFHTML

Papers citing "PASTA: Pretrained Action-State Transformer Agents"

12 / 12 papers shown
Title
Learning the Language of Protein Structure
Learning the Language of Protein Structure
Benoit Gaujac
Jérémie Donà
Liviu Copoiu
Timothy Atkinson
Thomas Pierrot
Thomas D. Barrett
51
10
0
08 Jan 2025
Learning Versatile Skills with Curriculum Masking
Learning Versatile Skills with Curriculum Masking
Yao Tang
Zhihui Xie
Zichuan Lin
Deheng Ye
Shuai Li
OffRL
26
0
0
23 Oct 2024
Multi-State-Action Tokenisation in Decision Transformers for
  Multi-Discrete Action Spaces
Multi-State-Action Tokenisation in Decision Transformers for Multi-Discrete Action Spaces
Perusha Moodley
Pramod S. Kaushik
Dhillu Thambi
Mark Trovinger
Praveen Paruchuri
Xia Hong
Benjamin Rosman
36
0
0
01 Jul 2024
Position: Foundation Agents as the Paradigm Shift for Decision Making
Position: Foundation Agents as the Paradigm Shift for Decision Making
Xiaoqian Liu
Xingzhou Lou
Jianbin Jiao
Junge Zhang
OffRL
LLMAG
31
5
0
27 May 2024
Self-supervised Pretraining for Decision Foundation Model: Formulation,
  Pipeline and Challenges
Self-supervised Pretraining for Decision Foundation Model: Formulation, Pipeline and Challenges
Xiaoqian Liu
Jianbin Jiao
Junge Zhang
OffRL
LRM
28
1
0
29 Dec 2023
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
CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery
CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery
Michael Laskin
Hao Liu
Xue Bin Peng
Denis Yarats
Aravind Rajeswaran
Pieter Abbeel
SSL
74
65
0
01 Feb 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,337
0
11 Nov 2021
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally
  Across Scales and Tasks
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks
Xiao Liu
Kaixuan Ji
Yicheng Fu
Weng Lam Tam
Zhengxiao Du
Zhilin Yang
Jie Tang
VLM
236
780
0
14 Oct 2021
Continuous Doubly Constrained Batch Reinforcement Learning
Continuous Doubly Constrained Batch Reinforcement Learning
Rasool Fakoor
Jonas W. Mueller
Kavosh Asadi
Pratik Chaudhari
Alex Smola
OffRL
194
23
0
18 Feb 2021
Contrastive Representation Learning: A Framework and Review
Contrastive Representation Learning: A Framework and Review
Phúc H. Lê Khắc
Graham Healy
A. Smeaton
SSL
AI4TS
146
670
0
10 Oct 2020
Decoupling Representation Learning from Reinforcement Learning
Decoupling Representation Learning from Reinforcement Learning
Adam Stooke
Kimin Lee
Pieter Abbeel
Michael Laskin
SSL
DRL
259
337
0
14 Sep 2020
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