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Decision Transformer: Reinforcement Learning via Sequence Modeling

Decision Transformer: Reinforcement Learning via Sequence Modeling

2 June 2021
Lili Chen
Kevin Lu
Aravind Rajeswaran
Kimin Lee
Aditya Grover
Michael Laskin
Pieter Abbeel
A. Srinivas
Igor Mordatch
    OffRL
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Papers citing "Decision Transformer: Reinforcement Learning via Sequence Modeling"

50 / 291 papers shown
Title
An empathic GPT-based chatbot to talk about mental disorders with Spanish teenagers
An empathic GPT-based chatbot to talk about mental disorders with Spanish teenagers
Alba María Mármol-Romero
Manuel García-Vega
Miguel Ángel García-Cumbreras
Arturo Montejo-Ráez
32
2
0
09 May 2025
Benchmarking Vision, Language, & Action Models in Procedurally Generated, Open Ended Action Environments
Benchmarking Vision, Language, & Action Models in Procedurally Generated, Open Ended Action Environments
Pranav Guruprasad
Yangyue Wang
Sudipta Chowdhury
Harshvardhan Sikka
LM&Ro
VLM
117
0
0
08 May 2025
UniCO: Towards a Unified Model for Combinatorial Optimization Problems
UniCO: Towards a Unified Model for Combinatorial Optimization Problems
Zefang Zong
Xiaochen Wei
Guozhen Zhang
Chen Gao
Huandong Wang
Yong Li
29
0
0
07 May 2025
StableMotion: Training Motion Cleanup Models with Unpaired Corrupted Data
StableMotion: Training Motion Cleanup Models with Unpaired Corrupted Data
Yuxuan Mu
Hung Yu Ling
Yi Shi
Ismael Baira Ojeda
Pengcheng Xi
Chang Shu
F. Zinno
Xue Bin Peng
50
0
0
06 May 2025
Latent Adaptive Planner for Dynamic Manipulation
Latent Adaptive Planner for Dynamic Manipulation
Donghun Noh
Deqian Kong
Minglu Zhao
Andrew Lizarraga
Jianwen Xie
Ying Nian Wu
Dennis W. Hong
94
0
0
06 May 2025
Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning
Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning
Jifeng Hu
Sili Huang
Z. Yang
Shengchao Hu
Li Shen
H. Chen
Lichao Sun
Yi-Ju Chang
Dacheng Tao
OffRL
103
0
0
03 May 2025
Dual Filter: A Mathematical Framework for Inference using Transformer-like Architectures
Dual Filter: A Mathematical Framework for Inference using Transformer-like Architectures
Heng-Sheng Chang
P. Mehta
34
0
0
01 May 2025
Generative Machine Learning in Adaptive Control of Dynamic Manufacturing Processes: A Review
Generative Machine Learning in Adaptive Control of Dynamic Manufacturing Processes: A Review
Suk Ki Lee
Hyunwoong Ko
AI4CE
54
0
0
30 Apr 2025
Offline Learning of Controllable Diverse Behaviors
Offline Learning of Controllable Diverse Behaviors
Mathieu Petitbois
Rémy Portelas
Sylvain Lamprier
Ludovic Denoyer
OffRL
34
0
0
25 Apr 2025
RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning
RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning
Z. Wang
K. Wang
Q. Wang
Pingyue Zhang
Linjie Li
...
Jiajun Wu
L. Fei-Fei
Lijuan Wang
Yejin Choi
Manling Li
84
1
0
24 Apr 2025
Do We Need Transformers to Play FPS Video Games?
Do We Need Transformers to Play FPS Video Games?
Karmanbir Batth
Krish Sethi
Aly Shariff
Leo Shi
Hetul Patel
OffRL
AI4CE
22
0
0
24 Apr 2025
Text-to-Decision Agent: Learning Generalist Policies from Natural Language Supervision
Text-to-Decision Agent: Learning Generalist Policies from Natural Language Supervision
Shilin Zhang
Zican Hu
Wenhao Wu
Xinyi Xie
Jianxiang Tang
Chunlin Chen
Daoyi Dong
Yu Cheng
Zhenhong Sun
Zhi Wang
OffRL
90
0
0
21 Apr 2025
Generative Auto-Bidding with Value-Guided Explorations
Generative Auto-Bidding with Value-Guided Explorations
Jingtong Gao
Yewen Li
Shuai Mao
Peng Jiang
Nan Jiang
...
Fei Pan
Peng Jiang
Kun Gai
Bo An
Xiangyu Zhao
OffRL
41
0
0
20 Apr 2025
Playing Non-Embedded Card-Based Games with Reinforcement Learning
Playing Non-Embedded Card-Based Games with Reinforcement Learning
Tianyang Wu
Lipeng Wan
Yuhang Wang
Qiang Wan
Xuguang Lan
OffRL
25
0
0
07 Apr 2025
Efficient Continual Adaptation of Pretrained Robotic Policy with Online Meta-Learned Adapters
Efficient Continual Adaptation of Pretrained Robotic Policy with Online Meta-Learned Adapters
Ruiqi Zhu
Endong Sun
Guanhe Huang
Oya Celiktutan
CLL
OnRL
59
0
0
24 Mar 2025
Masked Sensory-Temporal Attention for Sensor Generalization in Quadruped Locomotion
Masked Sensory-Temporal Attention for Sensor Generalization in Quadruped Locomotion
Dikai Liu
Tianwei Zhang
Jianxiong Yin
Simon See
85
1
0
13 Mar 2025
Generative Trajectory Stitching through Diffusion Composition
Generative Trajectory Stitching through Diffusion Composition
Yunhao Luo
Utkarsh Aashu Mishra
Yilun Du
Danfei Xu
111
1
0
07 Mar 2025
DPR: Diffusion Preference-based Reward for Offline Reinforcement Learning
DPR: Diffusion Preference-based Reward for Offline Reinforcement Learning
Teng Pang
Bingzheng Wang
Guoqiang Wu
Yilong Yin
OffRL
68
0
0
03 Mar 2025
Transformer Meets Twicing: Harnessing Unattended Residual Information
Laziz U. Abdullaev
Tan M. Nguyen
39
2
0
02 Mar 2025
Yes, Q-learning Helps Offline In-Context RL
Yes, Q-learning Helps Offline In-Context RL
Denis Tarasov
Alexander Nikulin
Ilya Zisman
Albina Klepach
Andrei Polubarov
Nikita Lyubaykin
Alexander Derevyagin
Igor Kiselev
Vladislav Kurenkov
OffRL
OnRL
127
0
0
24 Feb 2025
Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport
Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport
Mingyang Sun
Pengxiang Ding
Weinan Zhang
Donglin Wang
OT
78
0
0
24 Feb 2025
Hyperspherical Normalization for Scalable Deep Reinforcement Learning
Hyperspherical Normalization for Scalable Deep Reinforcement Learning
Hojoon Lee
Youngdo Lee
Takuma Seno
Donghu Kim
Peter Stone
Jaegul Choo
63
1
0
24 Feb 2025
A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks
A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks
Thomas Schmied
Thomas Adler
Vihang Patil
M. Beck
Korbinian Poppel
Johannes Brandstetter
G. Klambauer
Razvan Pascanu
Sepp Hochreiter
73
4
0
21 Feb 2025
FLAG-Trader: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading
FLAG-Trader: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading
Guojun Xiong
Zhiyang Deng
Keyi Wang
Yupeng Cao
Haohang Li
...
Kaleb Smith
Xiao-Yang Liu
J. Huang
Sophia Ananiadou
Qianqian Xie
AIFin
127
0
0
20 Feb 2025
X-IL: Exploring the Design Space of Imitation Learning Policies
X-IL: Exploring the Design Space of Imitation Learning Policies
Xiaogang Jia
Atalay Donat
Xi Huang
Xuan Zhao
Denis Blessing
...
Han A. Wang
Hanyi Zhang
Qian Wang
Rudolf Lioutikov
Gerhard Neumann
79
1
0
20 Feb 2025
RobotIQ: Empowering Mobile Robots with Human-Level Planning for Real-World Execution
RobotIQ: Empowering Mobile Robots with Human-Level Planning for Real-World Execution
Emmanuel K. Raptis
Athanasios Ch. Kapoutsis
Elias B. Kosmatopoulos
LM&Ro
75
0
0
18 Feb 2025
Zero-shot Model-based Reinforcement Learning using Large Language Models
Zero-shot Model-based Reinforcement Learning using Large Language Models
Abdelhakim Benechehab
Youssef Attia El Hili
Ambroise Odonnat
Oussama Zekri
Albert Thomas
Giuseppe Paolo
Maurizio Filippone
I. Redko
Balázs Kégl
OffRL
62
1
0
17 Feb 2025
Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling
Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling
Shenghong He
OffRL
135
0
0
10 Feb 2025
Utilizing Novelty-based Evolution Strategies to Train Transformers in Reinforcement Learning
Matyáš Lorenc
OffRL
65
0
0
10 Feb 2025
From Uncertain to Safe: Conformal Fine-Tuning of Diffusion Models for Safe PDE Control
From Uncertain to Safe: Conformal Fine-Tuning of Diffusion Models for Safe PDE Control
Peiyan Hu
Xiaowei Qian
Wenhao Deng
Rui Wang
Haodong Feng
...
Tao Zhang
Long Wei
Yue Wang
Zhi-Ming Ma
Tailin Wu
AI4CE
111
0
0
04 Feb 2025
GNN-DT: Graph Neural Network Enhanced Decision Transformer for Efficient Optimization in Dynamic Environments
GNN-DT: Graph Neural Network Enhanced Decision Transformer for Efficient Optimization in Dynamic Environments
Stavros Orfanoudakis
Nanda Kishor Panda
Peter Palensky
Pedro P. Vergara
AI4CE
61
0
0
03 Feb 2025
OT-Transformer: A Continuous-time Transformer Architecture with Optimal Transport Regularization
OT-Transformer: A Continuous-time Transformer Architecture with Optimal Transport Regularization
Kelvin Kan
Xingjian Li
Stanley Osher
91
2
0
30 Jan 2025
Towards Robust Spacecraft Trajectory Optimization via Transformers
Towards Robust Spacecraft Trajectory Optimization via Transformers
Yuji Takubo
T. Guffanti
Daniele Gammelli
Marco Pavone
Simone DÁmico
69
4
0
28 Jan 2025
Extensive Exploration in Complex Traffic Scenarios using Hierarchical Reinforcement Learning
Zhihao Zhang
Ekim Yurtsever
Keith A. Redmill
33
0
0
28 Jan 2025
Temporal Logic Specification-Conditioned Decision Transformer for Offline Safe Reinforcement Learning
Temporal Logic Specification-Conditioned Decision Transformer for Offline Safe Reinforcement Learning
Zijian Guo
Weichao Zhou
Wenchao Li
OffRL
94
2
0
28 Jan 2025
UNIDOOR: A Universal Framework for Action-Level Backdoor Attacks in Deep Reinforcement Learning
Oubo Ma
L. Du
Yang Dai
Chunyi Zhou
Qingming Li
Yuwen Pu
Shouling Ji
41
0
0
28 Jan 2025
Collective Intelligence for 2D Push Manipulations with Mobile Robots
Collective Intelligence for 2D Push Manipulations with Mobile Robots
So Kuroki
T. Matsushima
Jumpei Arima
Hiroki Furuta
Yutaka Matsuo
S. Gu
Yujin Tang
69
5
0
28 Jan 2025
Integrating Multi-Modal Input Token Mixer Into Mamba-Based Decision Models: Decision MetaMamba
Integrating Multi-Modal Input Token Mixer Into Mamba-Based Decision Models: Decision MetaMamba
Wall Kim
Mamba
51
0
0
10 Jan 2025
Amortized Bayesian Experimental Design for Decision-Making
Amortized Bayesian Experimental Design for Decision-Making
Daolang Huang
Yujia Guo
Luigi Acerbi
Samuel Kaski
44
2
0
03 Jan 2025
MADiff: Offline Multi-agent Learning with Diffusion Models
MADiff: Offline Multi-agent Learning with Diffusion Models
Zhengbang Zhu
Minghuan Liu
Liyuan Mao
Bingyi Kang
Minkai Xu
Yong Yu
Stefano Ermon
Weinan Zhang
DiffM
OffRL
78
33
0
03 Jan 2025
Human-like Bots for Tactical Shooters Using Compute-Efficient Sensors
Niels Justesen
Maria Kaselimi
Sam Snodgrass
Miruna Vozaru
Matthew Schlegel
...
Albert Wang
Christoffer Holmgård
Georgios N. Yannakakis
S. Risi
Julian Togelius
39
0
0
03 Jan 2025
Marvel: Accelerating Safe Online Reinforcement Learning with Finetuned Offline Policy
Marvel: Accelerating Safe Online Reinforcement Learning with Finetuned Offline Policy
Keru Chen
Honghao Wei
Zhigang Deng
Sen Lin
OffRL
OnRL
86
0
0
31 Dec 2024
ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learning
ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learning
Kun Wu
Yinuo Zhao
Z. Xu
Zhengping Che
Chengxiang Yin
C. Liu
Qinru Qiu
Feiferi Feng
OffRL
100
1
0
22 Dec 2024
Planning-Guided Diffusion Policy Learning for Generalizable Contact-Rich Bimanual Manipulation
Planning-Guided Diffusion Policy Learning for Generalizable Contact-Rich Bimanual Manipulation
Xuanlin Li
Tong Zhao
Xinghao Zhu
Jiuguang Wang
Tao Pang
Kuan Fang
82
4
0
03 Dec 2024
CATP-LLM: Empowering Large Language Models for Cost-Aware Tool Planning
CATP-LLM: Empowering Large Language Models for Cost-Aware Tool Planning
Duo Wu
J. Wang
Yuan Meng
Yanning Zhang
Le Sun
Zhi Wang
156
0
0
25 Nov 2024
DART-LLM: Dependency-Aware Multi-Robot Task Decomposition and Execution using Large Language Models
DART-LLM: Dependency-Aware Multi-Robot Task Decomposition and Execution using Large Language Models
Yongdong Wang
Runze Xiao
Jun Younes Louhi Kasahara
Ryosuke Yajima
Keiji Nagatani
Atsushi Yamashita
Hajime Asama
29
3
0
13 Nov 2024
Few-Shot Task Learning through Inverse Generative Modeling
Few-Shot Task Learning through Inverse Generative Modeling
Aviv Netanyahu
Yilun Du
Antonia Bronars
Jyothish Pari
J. Tenenbaum
Tianmin Shu
Pulkit Agrawal
44
1
0
07 Nov 2024
Transformer-Based Fault-Tolerant Control for Fixed-Wing UAVs Using Knowledge Distillation and In-Context Adaptation
Transformer-Based Fault-Tolerant Control for Fixed-Wing UAVs Using Knowledge Distillation and In-Context Adaptation
Francisco Giral
Ignacio Gómez
Ricardo Vinuesa
S. L. Clainche
32
2
0
05 Nov 2024
N-Gram Induction Heads for In-Context RL: Improving Stability and Reducing Data Needs
N-Gram Induction Heads for In-Context RL: Improving Stability and Reducing Data Needs
Ilya Zisman
Alexander Nikulin
Andrei Polubarov
Nikita Lyubaykin
Vladislav Kurenkov
Andrei Polubarov
Igor Kiselev
Vladislav Kurenkov
OffRL
44
1
0
04 Nov 2024
Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation
Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation
Daehee Lee
Minjong Yoo
Woo Kyung Kim
Wonje Choi
Honguk Woo
CLL
86
3
0
30 Oct 2024
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