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Bootstrap Your Own Skills: Learning to Solve New Tasks with Large
  Language Model Guidance

Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance

16 October 2023
Jesse Zhang
Jiahui Zhang
Karl Pertsch
Ziyi Liu
Xiang Ren
Minsuk Chang
Shao-Hua Sun
Joseph J. Lim
    LLMAG
    LM&Ro
ArXivPDFHTML

Papers citing "Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance"

50 / 57 papers shown
Title
Real-Time Verification of Embodied Reasoning for Generative Skill Acquisition
Real-Time Verification of Embodied Reasoning for Generative Skill Acquisition
Bo Yue
Shuqi Guo
Kaiyu Hu
Chujiao Wang
Benyou Wang
Kui Jia
Guiliang Liu
LRM
17
0
0
16 May 2025
ReWiND: Language-Guided Rewards Teach Robot Policies without New Demonstrations
ReWiND: Language-Guided Rewards Teach Robot Policies without New Demonstrations
Jiahui Zhang
Yusen Luo
Abrar Anwar
S. Sontakke
Joseph J. Lim
Jesse Thomason
Erdem Biyik
Jesse Zhang
OffRL
LM&Ro
17
0
0
16 May 2025
Sample Efficient Reinforcement Learning via Large Vision Language Model Distillation
Sample Efficient Reinforcement Learning via Large Vision Language Model Distillation
Donghoon Lee
Tung M. Luu
Younghwan Lee
Chang D. Yoo
OffRL
VLM
9
0
0
16 May 2025
A Survey of Personalization: From RAG to Agent
A Survey of Personalization: From RAG to Agent
Xiaopeng Li
Pengyue Jia
Derong Xu
Yi Wen
Yingyi Zhang
...
X. Li
Y. Liu
Huifeng Guo
Ruiming Tang
Xiangyu Zhao
3DV
AI4TS
AI4CE
44
0
0
14 Apr 2025
Reward Generation via Large Vision-Language Model in Offline Reinforcement Learning
Reward Generation via Large Vision-Language Model in Offline Reinforcement Learning
Younghwan Lee
Tung M. Luu
Donghoon Lee
Chang D. Yoo
3DV
VLM
OffRL
41
0
0
03 Apr 2025
SENSEI: Semantic Exploration Guided by Foundation Models to Learn Versatile World Models
Cansu Sancaktar
Christian Gumbsch
Andrii Zadaianchuk
Pavel Kolev
Georg Martius
LM&Ro
VLM
61
1
0
03 Mar 2025
The Evolving Landscape of LLM- and VLM-Integrated Reinforcement Learning
The Evolving Landscape of LLM- and VLM-Integrated Reinforcement Learning
Sheila Schoepp
Masoud Jafaripour
Yingyue Cao
Tianpei Yang
Fatemeh Abdollahi
Shadan Golestan
Zahin Sufiyan
Osmar Zaiane
Matthew E. Taylor
OffRL
LM&Ro
46
0
0
24 Feb 2025
Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models
Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models
Guanqun Cao
Ryan Mckenna
Erich Graf
John Oyekan
LM&Ro
127
0
0
30 Jan 2025
Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning
Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning
Yun Qu
Yuhang Jiang
Boyuan Wang
Yixiu Mao
Cheems Wang
Chang-Shu Liu
Xiangyang Ji
80
2
0
10 Jan 2025
AnyBimanual: Transferring Unimanual Policy for General Bimanual Manipulation
AnyBimanual: Transferring Unimanual Policy for General Bimanual Manipulation
Guanxing Lu
Tengbo Yu
Haoyuan Deng
Season Si Chen
Yansong Tang
Ziwei Wang
77
3
0
09 Dec 2024
Vision Language Models are In-Context Value Learners
Vision Language Models are In-Context Value Learners
Yecheng Jason Ma
Joey Hejna
Ayzaan Wahid
Chuyuan Fu
Dhruv Shah
...
Dinesh Jayaraman
Wenhao Yu
Tingnan Zhang
Dorsa Sadigh
Fei Xia
54
5
0
07 Nov 2024
Defining and Evaluating Physical Safety for Large Language Models
Defining and Evaluating Physical Safety for Large Language Models
Yung-Chen Tang
Pin-Yu Chen
Tsung-Yi Ho
ELM
32
2
0
04 Nov 2024
Eurekaverse: Environment Curriculum Generation via Large Language Models
Eurekaverse: Environment Curriculum Generation via Large Language Models
William Liang
Sam Wang
Hung-Ju Wang
Osbert Bastani
Dinesh Jayaraman
Yecheng Jason Ma
SyDa
36
1
0
04 Nov 2024
Local Policies Enable Zero-shot Long-horizon Manipulation
Local Policies Enable Zero-shot Long-horizon Manipulation
Murtaza Dalal
Min Liu
Walter Talbott
Chen Chen
Deepak Pathak
Jian Zhang
Ruslan Salakhutdinov
38
3
0
29 Oct 2024
Generative AI Agents in Autonomous Machines: A Safety Perspective
Generative AI Agents in Autonomous Machines: A Safety Perspective
Jason J. Jabbour
Vijay Janapa Reddi
AI4CE
43
4
0
20 Oct 2024
Grounding Large Language Models In Embodied Environment With Imperfect
  World Models
Grounding Large Language Models In Embodied Environment With Imperfect World Models
Haolan Liu
Jishen Zhao
LLMAG
SyDa
AI4CE
28
0
0
03 Oct 2024
Choices are More Important than Efforts: LLM Enables Efficient
  Multi-Agent Exploration
Choices are More Important than Efforts: LLM Enables Efficient Multi-Agent Exploration
Yun Qu
Boyuan Wang
Yuhang Jiang
Jianzhun Shao
Yixiu Mao
Cheems Wang
Chang Liu
Xiangyang Ji
46
4
0
03 Oct 2024
RAG-Modulo: Solving Sequential Tasks using Experience, Critics, and
  Language Models
RAG-Modulo: Solving Sequential Tasks using Experience, Critics, and Language Models
Abhinav Jain
Chris Jermaine
Vaibhav Unhelkar
KELM
LLMAG
31
1
0
18 Sep 2024
AnyBipe: An End-to-End Framework for Training and Deploying Bipedal Robots Guided by Large Language Models
AnyBipe: An End-to-End Framework for Training and Deploying Bipedal Robots Guided by Large Language Models
Yifei Yao
Wentao He
Chenyu Gu
Jiaheng Du
Fuwei Tan
Zhen Zhu
Junguo Lu
OffRL
31
2
0
13 Sep 2024
LLMs are Superior Feedback Providers: Bootstrapping Reasoning for Lie
  Detection with Self-Generated Feedback
LLMs are Superior Feedback Providers: Bootstrapping Reasoning for Lie Detection with Self-Generated Feedback
Tanushree Banerjee
Richard Zhu
Runzhe Yang
Karthik Narasimhan
37
2
0
25 Aug 2024
Semantic Skill Grounding for Embodied Instruction-Following in
  Cross-Domain Environments
Semantic Skill Grounding for Embodied Instruction-Following in Cross-Domain Environments
Sangwoo Shin
Takehiro Matsuoka
Youngsoo Jang
Moontae Lee
Kazuya Yoshida
38
0
0
02 Aug 2024
Tulip Agent -- Enabling LLM-Based Agents to Solve Tasks Using Large Tool
  Libraries
Tulip Agent -- Enabling LLM-Based Agents to Solve Tasks Using Large Tool Libraries
Felix Ocker
Daniel Tanneberg
Julian Eggert
Michael Gienger
LLMAG
LM&Ro
VLM
42
5
0
31 Jul 2024
Enhancing Agent Learning through World Dynamics Modeling
Enhancing Agent Learning through World Dynamics Modeling
Zhiyuan Sun
Haochen Shi
Marc-Alexandre Côté
Glen Berseth
Xingdi Yuan
Bang Liu
52
3
0
25 Jul 2024
No Size Fits All: The Perils and Pitfalls of Leveraging LLMs Vary with
  Company Size
No Size Fits All: The Perils and Pitfalls of Leveraging LLMs Vary with Company Size
Ashok Urlana
Charaka Vinayak Kumar
B. Garlapati
Ajeet Kumar Singh
Rahul Mishra
35
1
0
21 Jul 2024
Large Language Model Agents for Improving Engagement with Behavior
  Change Interventions: Application to Digital Mindfulness
Large Language Model Agents for Improving Engagement with Behavior Change Interventions: Application to Digital Mindfulness
Harsh Kumar
Suhyeon Yoo
Angela M. Zavaleta Bernuy
Jiakai Shi
Huayin Luo
Joseph Jay Williams
Anastasia Kuzminykh
Ashton Anderson
Rachel Kornfield
45
1
0
03 Jul 2024
Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for
  Robot Learning
Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning
Yixiao Wang
Yifei Zhang
Mingxiao Huo
Ran Tian
Xiang Zhang
...
Chenfeng Xu
Pengliang Ji
Wei Zhan
Mingyu Ding
M. Tomizuka
MoE
36
18
0
01 Jul 2024
HYPERmotion: Learning Hybrid Behavior Planning for Autonomous
  Loco-manipulation
HYPERmotion: Learning Hybrid Behavior Planning for Autonomous Loco-manipulation
Jin Wang
Rui Dai
Weijie Wang
Luca Rossini
Francesco Ruscelli
Nikos Tsagarakis
39
4
0
20 Jun 2024
AIC MLLM: Autonomous Interactive Correction MLLM for Robust Robotic
  Manipulation
AIC MLLM: Autonomous Interactive Correction MLLM for Robust Robotic Manipulation
Chuyan Xiong
Chengyu Shen
Xiaoqi Li
Kaichen Zhou
Jiaming Liu
Ruiping Wang
Hao Dong
LRM
34
10
0
17 Jun 2024
World Models with Hints of Large Language Models for Goal Achieving
World Models with Hints of Large Language Models for Goal Achieving
Zeyuan Liu
Ziyu Huan
Xiyao Wang
Jiafei Lyu
Jian Tao
Xiu Li
Furong Huang
Huazhe Xu
LM&Ro
LRM
AI4CE
46
1
0
11 Jun 2024
DrEureka: Language Model Guided Sim-To-Real Transfer
DrEureka: Language Model Guided Sim-To-Real Transfer
Yecheng Jason Ma
William Liang
Hung-Ju Wang
Sam Wang
Yuke Zhu
Linxi Fan
Osbert Bastani
Dinesh Jayaraman
77
43
0
04 Jun 2024
FuRL: Visual-Language Models as Fuzzy Rewards for Reinforcement Learning
FuRL: Visual-Language Models as Fuzzy Rewards for Reinforcement Learning
Yuwei Fu
Haichao Zhang
Di Wu
Wei-ping Xu
Benoit Boulet
VLM
24
12
0
02 Jun 2024
Agentic Skill Discovery
Agentic Skill Discovery
Xufeng Zhao
C. Weber
Stefan Wermter
LM&Ro
LLMAG
LRM
32
2
0
23 May 2024
Meta-Control: Automatic Model-based Control Synthesis for Heterogeneous
  Robot Skills
Meta-Control: Automatic Model-based Control Synthesis for Heterogeneous Robot Skills
Tianhao Wei
Liqian Ma
Rui Chen
Weiye Zhao
Changliu Liu
45
3
0
18 May 2024
Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon
  Robotics Tasks
Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks
Murtaza Dalal
Tarun Chiruvolu
Devendra Singh Chaplot
Ruslan Salakhutdinov
LM&Ro
36
39
0
02 May 2024
What Foundation Models can Bring for Robot Learning in Manipulation : A
  Survey
What Foundation Models can Bring for Robot Learning in Manipulation : A Survey
Dingzhe Li
Yixiang Jin
A. Yong
Hongze Yu
Jun Shi
Xiaoshuai Hao
Peng Hao
Huaping Liu
Gang Hua
Bin Fang
AI4CE
LM&Ro
72
13
0
28 Apr 2024
Large Language Models for Orchestrating Bimanual Robots
Large Language Models for Orchestrating Bimanual Robots
Kun-Mo Chu
Xufeng Zhao
C. Weber
Mengdi Li
Wenhao Lu
Stefan Wermter
LM&Ro
LLMAG
34
8
0
02 Apr 2024
RLingua: Improving Reinforcement Learning Sample Efficiency in Robotic
  Manipulations With Large Language Models
RLingua: Improving Reinforcement Learning Sample Efficiency in Robotic Manipulations With Large Language Models
Liangliang Chen
Yutian Lei
Shiyu Jin
Ying Zhang
Liangjun Zhang
LM&Ro
45
8
0
11 Mar 2024
RL-GPT: Integrating Reinforcement Learning and Code-as-policy
RL-GPT: Integrating Reinforcement Learning and Code-as-policy
Shaoteng Liu
Haoqi Yuan
Minda Hu
Yanwei Li
Yukang Chen
Shu Liu
Zongqing Lu
Jiaya Jia
LLMAG
48
14
0
29 Feb 2024
Language-guided Skill Learning with Temporal Variational Inference
Language-guided Skill Learning with Temporal Variational Inference
Haotian Fu
Pratyusha Sharma
Elias Stengel-Eskin
George Konidaris
Nicolas Le Roux
Marc-Alexandre Côté
Xingdi Yuan
38
7
0
26 Feb 2024
Large Multimodal Agents: A Survey
Large Multimodal Agents: A Survey
Junlin Xie
Zhihong Chen
Ruifei Zhang
Xiang Wan
Guanbin Li
LM&Ro
LLMAG
37
39
0
23 Feb 2024
LLMs with Industrial Lens: Deciphering the Challenges and Prospects -- A
  Survey
LLMs with Industrial Lens: Deciphering the Challenges and Prospects -- A Survey
Ashok Urlana
Charaka Vinayak Kumar
Ajeet Kumar Singh
B. Garlapati
S. Chalamala
Rahul Mishra
35
5
0
22 Feb 2024
Talk Through It: End User Directed Manipulation Learning
Talk Through It: End User Directed Manipulation Learning
Carl Winge
Adam Imdieke
Bahaa Aldeeb
Dongyeop Kang
Karthik Desingh
LM&Ro
43
1
0
19 Feb 2024
Hierarchical Continual Reinforcement Learning via Large Language Model
Hierarchical Continual Reinforcement Learning via Large Language Model
Chaofan Pan
Xin Yang
Hao Wang
Wei Wei
Tianrui Li
25
2
0
25 Jan 2024
On the Prospects of Incorporating Large Language Models (LLMs) in
  Automated Planning and Scheduling (APS)
On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS)
Vishal Pallagani
Kaushik Roy
Bharath Muppasani
F. Fabiano
Andrea Loreggia
K. Murugesan
Biplav Srivastava
F. Rossi
L. Horesh
Amit P. Sheth
28
40
0
04 Jan 2024
LHManip: A Dataset for Long-Horizon Language-Grounded Manipulation Tasks
  in Cluttered Tabletop Environments
LHManip: A Dataset for Long-Horizon Language-Grounded Manipulation Tasks in Cluttered Tabletop Environments
Federico Ceola
Lorenzo Natale
Niko Sünderhauf
Krishan Rana
LM&Ro
32
1
0
19 Dec 2023
LiFT: Unsupervised Reinforcement Learning with Foundation Models as
  Teachers
LiFT: Unsupervised Reinforcement Learning with Foundation Models as Teachers
Taewook Nam
Juyong Lee
Jesse Zhang
Sung Ju Hwang
Joseph J. Lim
Karl Pertsch
OffRL
LRM
43
5
0
14 Dec 2023
Program Machine Policy: Addressing Long-Horizon Tasks by Integrating
  Program Synthesis and State Machines
Program Machine Policy: Addressing Long-Horizon Tasks by Integrating Program Synthesis and State Machines
Yu-An Lin
Chen-Tao Lee
Guanhui. Liu
Pu-Jen Cheng
Shao-Hua Sun
27
0
0
27 Nov 2023
Location-Aware Visual Question Generation with Lightweight Models
Location-Aware Visual Question Generation with Lightweight Models
Nicholas Collin Suwono
Justin Chih-Yao Chen
Tun-Min Hung
T. Huang
I-Bin Liao
Yung-Hui Li
Lun-Wei Ku
Shao-Hua Sun
15
4
0
23 Oct 2023
TAIL: Task-specific Adapters for Imitation Learning with Large
  Pretrained Models
TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models
Zuxin Liu
Jesse Zhang
Kavosh Asadi
Yao Liu
Ding Zhao
Shoham Sabach
Rasool Fakoor
ALM
AI4CE
21
25
0
09 Oct 2023
Hierarchical Programmatic Reinforcement Learning via Learning to Compose
  Programs
Hierarchical Programmatic Reinforcement Learning via Learning to Compose Programs
Guanhui. Liu
En-Pei Hu
Pu-Jen Cheng
Hung-yi Lee
Shao-Hua Sun
71
17
0
30 Jan 2023
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