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. 2303.04129
  4. Cited By
Foundation Models for Decision Making: Problems, Methods, and
  Opportunities

Foundation Models for Decision Making: Problems, Methods, and Opportunities

7 March 2023
Sherry Yang
Ofir Nachum
Yilun Du
Jason W. Wei
Pieter Abbeel
Dale Schuurmans
    LM&Ro
    OffRL
    LRM
    AI4CE
ArXivPDFHTML

Papers citing "Foundation Models for Decision Making: Problems, Methods, and Opportunities"

50 / 52 papers shown
Title
The Algorithmic State Architecture (ASA): An Integrated Framework for AI-Enabled Government
Zeynep Engin
Jon Crowcroft
David Hand
Philip Treleaven
51
2
0
11 Mar 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
72
1
0
17 Feb 2025
Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform
Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform
Cheonsu Jeong
77
0
0
01 Jan 2025
Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset
Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset
Khaoula Chehbouni
Jonathan Colaço-Carr
Yash More
Jackie CK Cheung
G. Farnadi
78
0
0
12 Nov 2024
Enhancing Representation Learning of EEG Data with Masked Autoencoders
Enhancing Representation Learning of EEG Data with Masked Autoencoders
Yifei Zhou
Sitong Liu
41
0
0
09 Aug 2024
CFBench: A Comprehensive Constraints-Following Benchmark for LLMs
CFBench: A Comprehensive Constraints-Following Benchmark for LLMs
Leo Micklem
Yan-Bin Shen
Wenjing Luo
Yan Zhang
Hao Liang
...
Weipeng Chen
Bin Cui
Blair Thornton
Wentao Zhang
Zenan Zhou
ELM
84
16
0
02 Aug 2024
Safe and Balanced: A Framework for Constrained Multi-Objective
  Reinforcement Learning
Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement Learning
Shangding Gu
Bilgehan Sel
Yuhao Ding
Lu Wang
Qingwei Lin
Alois Knoll
Ming Jin
42
1
0
26 May 2024
COMBO: Compositional World Models for Embodied Multi-Agent Cooperation
COMBO: Compositional World Models for Embodied Multi-Agent Cooperation
Hongxin Zhang
Zeyuan Wang
Qiushi Lyu
Zheyuan Zhang
Sunli Chen
Tianmin Shu
Yilun Du
Kwonjoon Lee
Yilun Du
Chuang Gan
48
12
0
16 Apr 2024
Structurally Flexible Neural Networks: Evolving the Building Blocks for
  General Agents
Structurally Flexible Neural Networks: Evolving the Building Blocks for General Agents
J. Pedersen
Erwan Plantec
Eleni Nisioti
Milton L. Montero
Sebastian Risi
55
1
0
06 Apr 2024
Understanding the planning of LLM agents: A survey
Understanding the planning of LLM agents: A survey
Xu Huang
Weiwen Liu
Xiaolong Chen
Xingmei Wang
Hao Wang
Defu Lian
Yasheng Wang
Ruiming Tang
Enhong Chen
LLMAG
LM&Ro
35
132
0
05 Feb 2024
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning
Lanqing Li
Hai Zhang
Xinyu Zhang
Shatong Zhu
Junqiao Zhao
Junqiao Zhao
Pheng-Ann Heng
OffRL
43
7
0
04 Feb 2024
Vision-Language Models as a Source of Rewards
Vision-Language Models as a Source of Rewards
Kate Baumli
Satinder Baveja
Feryal M. P. Behbahani
Harris Chan
Gheorghe Comanici
...
Yannick Schroecker
Stephen Spencer
Richie Steigerwald
Luyu Wang
Lei Zhang
VLM
LRM
45
26
0
14 Dec 2023
Large Language Model as a Policy Teacher for Training Reinforcement
  Learning Agents
Large Language Model as a Policy Teacher for Training Reinforcement Learning Agents
Zihao Zhou
Bin-Bin Hu
Chenyang Zhao
Pu Zhang
Bin Liu
LLMAG
32
9
0
22 Nov 2023
Transformers as Decision Makers: Provable In-Context Reinforcement
  Learning via Supervised Pretraining
Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining
Licong Lin
Yu Bai
Song Mei
OffRL
32
43
0
12 Oct 2023
CoPAL: Corrective Planning of Robot Actions with Large Language Models
CoPAL: Corrective Planning of Robot Actions with Large Language Models
Frank Joublin
Antonello Ceravola
Pavel Smirnov
Felix Ocker
Joerg Deigmoeller
Anna Belardinelli
Chao Wang
Stephan Hasler
Daniel Tanneberg
Michael Gienger
LM&Ro
LLMAG
46
34
0
11 Oct 2023
Cognitive Architectures for Language Agents
Cognitive Architectures for Language Agents
T. Sumers
Shunyu Yao
Karthik Narasimhan
Thomas L. Griffiths
LLMAG
LM&Ro
56
153
0
05 Sep 2023
LatEval: An Interactive LLMs Evaluation Benchmark with Incomplete
  Information from Lateral Thinking Puzzles
LatEval: An Interactive LLMs Evaluation Benchmark with Incomplete Information from Lateral Thinking Puzzles
Shulin Huang
Shirong Ma
Hai-Tao Zheng
Mengzuo Huang
Wuhe Zou
Weidong Zhang
Haitao Zheng
LLMAG
LRM
31
26
0
21 Aug 2023
ExpeL: LLM Agents Are Experiential Learners
ExpeL: LLM Agents Are Experiential Learners
Andrew Zhao
Daniel Huang
Quentin Xu
Matthieu Lin
Yong-Jin Liu
Gao Huang
LLMAG
22
193
0
20 Aug 2023
Large Language Models and Foundation Models in Smart Agriculture:
  Basics, Opportunities, and Challenges
Large Language Models and Foundation Models in Smart Agriculture: Basics, Opportunities, and Challenges
Jiajia Li
Mingle Xu
Lirong Xiang
Dong Chen
Weichao Zhuang
Xunyuan Yin
Zhao Li
39
3
0
13 Aug 2023
Tool Documentation Enables Zero-Shot Tool-Usage with Large Language
  Models
Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models
Cheng-Yu Hsieh
Sibei Chen
Chun-Liang Li
Yasuhisa Fujii
Alexander Ratner
Chen-Yu Lee
Ranjay Krishna
Tomas Pfister
LLMAG
SyDa
46
41
0
01 Aug 2023
Building Cooperative Embodied Agents Modularly with Large Language Models
Building Cooperative Embodied Agents Modularly with Large Language Models
Hongxin Zhang
Weihua Du
Jiaming Shan
Qinhong Zhou
Yilun Du
J. Tenenbaum
Tianmin Shu
Chuang Gan
LLMAG
LM&Ro
59
157
0
05 Jul 2023
Large Language Models as Tax Attorneys: A Case Study in Legal
  Capabilities Emergence
Large Language Models as Tax Attorneys: A Case Study in Legal Capabilities Emergence
John J. Nay
David Karamardian
Sarah Lawsky
Wenting Tao
Meghana Moorthy Bhat
Raghav Jain
Aaron Travis Lee
Jonathan H. Choi
Jungo Kasai
ELM
AILaw
24
57
0
12 Jun 2023
Inverse Dynamics Pretraining Learns Good Representations for Multitask
  Imitation
Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation
David Brandfonbrener
Ofir Nachum
Joan Bruna
AI4CE
26
21
0
26 May 2023
On the Tool Manipulation Capability of Open-source Large Language Models
On the Tool Manipulation Capability of Open-source Large Language Models
Qiantong Xu
Fenglu Hong
Yangqiu Song
Changran Hu
Zheng Chen
Jian Zhang
LLMAG
29
69
0
25 May 2023
Can ChatGPT Defend its Belief in Truth? Evaluating LLM Reasoning via
  Debate
Can ChatGPT Defend its Belief in Truth? Evaluating LLM Reasoning via Debate
Boshi Wang
Xiang Yue
Huan Sun
ELM
LRM
46
60
0
22 May 2023
Policy Representation via Diffusion Probability Model for Reinforcement
  Learning
Policy Representation via Diffusion Probability Model for Reinforcement Learning
Long Yang
Zhixiong Huang
Fenghao Lei
Yucun Zhong
Yiming Yang
Cong Fang
Shiting Wen
Binbin Zhou
Zhouchen Lin
DiffM
28
40
0
22 May 2023
Introspective Tips: Large Language Model for In-Context Decision Making
Introspective Tips: Large Language Model for In-Context Decision Making
Liting Chen
Lu Wang
Hang Dong
Yali Du
Jie Yan
...
Pu Zhao
Si Qin
Saravan Rajmohan
Qingwei Lin
Dongmei Zhang
LLMAG
LRM
39
24
0
19 May 2023
ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via
  Tool Embeddings
ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings
Shibo Hao
Tianyang Liu
Zhen Wang
Zhiting Hu
RALM
LLMAG
60
173
0
19 May 2023
OptoGPT: A Foundation Model for Inverse Design in Optical Multilayer
  Thin Film Structures
OptoGPT: A Foundation Model for Inverse Design in Optical Multilayer Thin Film Structures
Taigao Ma
Haozhu Wang
L. J. Guo
22
18
0
20 Apr 2023
Learning Personalized Decision Support Policies
Learning Personalized Decision Support Policies
Umang Bhatt
Valerie Chen
Katherine M. Collins
Parameswaran Kamalaruban
Emma Kallina
Adrian Weller
Ameet Talwalkar
OffRL
56
10
0
13 Apr 2023
Chain-of-Thought Predictive Control
Chain-of-Thought Predictive Control
Zhiwei Jia
Vineet Thumuluri
Fangchen Liu
Ling-Hao Chen
Zhiao Huang
H. Su
LM&Ro
39
20
0
03 Apr 2023
Language Models can Solve Computer Tasks
Language Models can Solve Computer Tasks
Geunwoo Kim
Pierre Baldi
Stephen Marcus McAleer
LLMAG
LM&Ro
43
342
0
30 Mar 2023
Mind's Eye: Grounded Language Model Reasoning through Simulation
Mind's Eye: Grounded Language Model Reasoning through Simulation
Ruibo Liu
Jason W. Wei
S. Gu
Te-Yen Wu
Soroush Vosoughi
Claire Cui
Denny Zhou
Andrew M. Dai
ReLM
LRM
118
79
0
11 Oct 2022
Understanding HTML with Large Language Models
Understanding HTML with Large Language Models
Izzeddin Gur
Ofir Nachum
Yingjie Miao
Mustafa Safdari
Austin Huang
Aakanksha Chowdhery
Sharan Narang
Noah Fiedel
Aleksandra Faust
AI4CE
138
70
0
08 Oct 2022
VIMA: General Robot Manipulation with Multimodal Prompts
VIMA: General Robot Manipulation with Multimodal Prompts
Yunfan Jiang
Agrim Gupta
Zichen Zhang
Guanzhi Wang
Yongqiang Dou
Yanjun Chen
Li Fei-Fei
Anima Anandkumar
Yuke Zhu
Linxi Fan
LM&Ro
28
335
0
06 Oct 2022
ReAct: Synergizing Reasoning and Acting in Language Models
ReAct: Synergizing Reasoning and Acting in Language Models
Shunyu Yao
Jeffrey Zhao
Dian Yu
Nan Du
Izhak Shafran
Karthik Narasimhan
Yuan Cao
LLMAG
ReLM
LRM
267
2,510
0
06 Oct 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
113
102
0
11 Sep 2022
LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language,
  Vision, and Action
LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action
Dhruv Shah
B. Osinski
Brian Ichter
Sergey Levine
LM&Ro
158
437
0
10 Jul 2022
Masked World Models for Visual Control
Masked World Models for Visual Control
Younggyo Seo
Danijar Hafner
Hao Liu
Fangchen Liu
Stephen James
Kimin Lee
Pieter Abbeel
OffRL
93
146
0
28 Jun 2022
Offline RL for Natural Language Generation with Implicit Language Q
  Learning
Offline RL for Natural Language Generation with Implicit Language Q Learning
Charles Burton Snell
Ilya Kostrikov
Yi Su
Mengjiao Yang
Sergey Levine
OffRL
128
102
0
05 Jun 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
170
27
0
31 May 2022
Planning with Diffusion for Flexible Behavior Synthesis
Planning with Diffusion for Flexible Behavior Synthesis
Michael Janner
Yilun Du
J. Tenenbaum
Sergey Levine
DiffM
202
632
0
20 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
339
12,003
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
140
95
0
28 Jan 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
395
8,559
0
28 Jan 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
308
7,443
0
11 Nov 2021
Ego4D: Around the World in 3,000 Hours of Egocentric Video
Ego4D: Around the World in 3,000 Hours of Egocentric Video
Kristen Grauman
Andrew Westbury
Eugene Byrne
Zachary Chavis
Antonino Furnari
...
Mike Zheng Shou
Antonio Torralba
Lorenzo Torresani
Mingfei Yan
Jitendra Malik
EgoV
250
1,024
0
13 Oct 2021
Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain
  Datasets
Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets
F. Ebert
Yanlai Yang
Karl Schmeckpeper
Bernadette Bucher
G. Georgakis
Kostas Daniilidis
Chelsea Finn
Sergey Levine
169
220
0
27 Sep 2021
Internet-Augmented Dialogue Generation
Internet-Augmented Dialogue Generation
M. Komeili
Kurt Shuster
Jason Weston
RALM
244
281
0
15 Jul 2021
Curious Representation Learning for Embodied Intelligence
Curious Representation Learning for Embodied Intelligence
Yilun Du
Chuang Gan
Phillip Isola
SSL
LM&Ro
115
40
0
03 May 2021
12
Next