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Thought Cloning: Learning to Think while Acting by Imitating Human
  Thinking

Thought Cloning: Learning to Think while Acting by Imitating Human Thinking

1 June 2023
Shengran Hu
Jeff Clune
    LM&Ro
    OffRL
    LRM
    AI4CE
ArXivPDFHTML

Papers citing "Thought Cloning: Learning to Think while Acting by Imitating Human Thinking"

28 / 28 papers shown
Title
Evolution of AI in Education: Agentic Workflows
Evolution of AI in Education: Agentic Workflows
Firuz Kamalov
David Santandreu Calonge
Linda Smail
Dilshod Azizov
Dimple R. Thadani
Theresa Kwong
Amara Atif
43
0
0
25 Apr 2025
Model-Agnostic Policy Explanations with Large Language Models
Model-Agnostic Policy Explanations with Large Language Models
Zhang Xi-Jia
Yue (Sophie) Guo
Shufei Chen
Simon Stepputtis
Matthew C. Gombolay
Katia P. Sycara
Joseph Campbell
LM&Ro
LRM
57
0
0
08 Apr 2025
AEGIS: Human Attention-based Explainable Guidance for Intelligent Vehicle Systems
AEGIS: Human Attention-based Explainable Guidance for Intelligent Vehicle Systems
Zhuoli Zhuang
Cheng-You Lu
Yu-Cheng Chang
Yu-Kai Wang
T. Do
Chin-Teng Lin
26
0
0
08 Apr 2025
Do Chains-of-Thoughts of Large Language Models Suffer from Hallucinations, Cognitive Biases, or Phobias in Bayesian Reasoning?
Do Chains-of-Thoughts of Large Language Models Suffer from Hallucinations, Cognitive Biases, or Phobias in Bayesian Reasoning?
Roberto Araya
LRM
42
0
0
19 Mar 2025
GTR: Guided Thought Reinforcement Prevents Thought Collapse in RL-based VLM Agent Training
Tong Wei
Yijun Yang
Junliang Xing
Yuanchun Shi
Zongqing Lu
Deheng Ye
OffRL
LRM
42
1
0
11 Mar 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
73
0
0
12 Nov 2024
Can Multimodal Large Language Model Think Analogically?
Can Multimodal Large Language Model Think Analogically?
Diandian Guo
Cong Cao
Fangfang Yuan
Dakui Wang
Wei Ma
Yanbing Liu
Jianhui Fu
LRM
26
0
0
02 Nov 2024
SEAL: SEmantic-Augmented Imitation Learning via Language Model
SEAL: SEmantic-Augmented Imitation Learning via Language Model
Chengyang Gu
Yuxin Pan
Haotian Bai
Hui Xiong
Yize Chen
27
0
0
03 Oct 2024
Automated Design of Agentic Systems
Automated Design of Agentic Systems
Shengran Hu
Cong Lu
Jeff Clune
AI4CE
34
37
0
15 Aug 2024
OmniJARVIS: Unified Vision-Language-Action Tokenization Enables
  Open-World Instruction Following Agents
OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents
Zihao Wang
Shaofei Cai
Zhancun Mu
Haowei Lin
Ceyao Zhang
Xuejie Liu
Qing Li
Anji Liu
Xiaojian Ma
Yitao Liang
LM&Ro
30
11
0
27 Jun 2024
Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models
Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models
Cong Lu
Shengran Hu
Jeff Clune
LLMAG
34
9
0
24 May 2024
Policy Learning with a Language Bottleneck
Policy Learning with a Language Bottleneck
Megha Srivastava
Cédric Colas
Dorsa Sadigh
Jacob Andreas
25
3
0
07 May 2024
Scaling Instructable Agents Across Many Simulated Worlds
Scaling Instructable Agents Across Many Simulated Worlds
Sima Team
Maria Abi Raad
Arun Ahuja
Catarina Barros
F. Besse
...
Daan Wierstra
Duncan Williams
Nathaniel Wong
Sarah York
Nick Young
LM&Ro
107
38
0
13 Mar 2024
RT-H: Action Hierarchies Using Language
RT-H: Action Hierarchies Using Language
Suneel Belkhale
Tianli Ding
Ted Xiao
P. Sermanet
Quon Vuong
Jonathan Tompson
Yevgen Chebotar
Debidatta Dwibedi
Dorsa Sadigh
LM&Ro
29
74
0
04 Mar 2024
Evaluating Language Model Agency through Negotiations
Evaluating Language Model Agency through Negotiations
Tim R. Davidson
V. Veselovsky
Martin Josifoski
Maxime Peyrard
Antoine Bosselut
Michal Kosinski
Robert West
LLMAG
29
22
0
09 Jan 2024
Understanding Your Agent: Leveraging Large Language Models for Behavior
  Explanation
Understanding Your Agent: Leveraging Large Language Models for Behavior Explanation
Xijia Zhang
Yue (Sophie) Guo
Simon Stepputtis
Katia P. Sycara
Joseph Campbell
LLMAG
LM&Ro
24
1
0
29 Nov 2023
RoboVQA: Multimodal Long-Horizon Reasoning for Robotics
RoboVQA: Multimodal Long-Horizon Reasoning for Robotics
P. Sermanet
Tianli Ding
Jeffrey Zhao
Fei Xia
Debidatta Dwibedi
...
Pannag R. Sanketi
Karol Hausman
Izhak Shafran
Brian Ichter
Yuan Cao
LM&Ro
15
50
0
01 Nov 2023
Explaining Agent Behavior with Large Language Models
Explaining Agent Behavior with Large Language Models
Xijia Zhang
Yue (Sophie) Guo
Simon Stepputtis
Katia P. Sycara
Joseph Campbell
LM&Ro
LLMAG
17
6
0
19 Sep 2023
Learning by Self-Explaining
Learning by Self-Explaining
Wolfgang Stammer
Felix Friedrich
David Steinmann
Manuel Brack
Hikaru Shindo
Kristian Kersting
20
7
0
15 Sep 2023
AI Text-to-Behavior: A Study In Steerability
AI Text-to-Behavior: A Study In Steerability
David A. Noever
Samuel Hyams
LLMSV
47
8
0
07 Aug 2023
Semantic HELM: A Human-Readable Memory for Reinforcement Learning
Semantic HELM: A Human-Readable Memory for Reinforcement Learning
Fabian Paischer
Thomas Adler
M. Hofmarcher
Sepp Hochreiter
16
9
0
15 Jun 2023
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
233
2,470
0
06 Oct 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
303
11,881
0
04 Mar 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
315
8,402
0
28 Jan 2022
Skill Induction and Planning with Latent Language
Skill Induction and Planning with Latent Language
Pratyusha Sharma
Antonio Torralba
Jacob Andreas
LM&Ro
194
108
0
04 Oct 2021
A Persistent Spatial Semantic Representation for High-level Natural
  Language Instruction Execution
A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution
Valts Blukis
Chris Paxton
D. Fox
Animesh Garg
Yoav Artzi
LM&Ro
212
133
0
12 Jul 2021
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
294
4,187
0
23 Aug 2019
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
228
31,150
0
16 Jan 2013
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