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Autonomous Improvement of Instruction Following Skills via Foundation
  Models

Autonomous Improvement of Instruction Following Skills via Foundation Models

30 July 2024
Zhiyuan Zhou
P. Atreya
Abraham Lee
Homer Walke
Oier Mees
Sergey Levine
ArXiv (abs)PDFHTML

Papers citing "Autonomous Improvement of Instruction Following Skills via Foundation Models"

43 / 43 papers shown
Title
The Latent Space Hypothesis: Toward Universal Medical Representation Learning
Salil Patel
134
0
0
04 Jun 2025
Robotic Control via Embodied Chain-of-Thought Reasoning
Robotic Control via Embodied Chain-of-Thought Reasoning
Michał Zawalski
William Chen
Karl Pertsch
Oier Mees
Chelsea Finn
Sergey Levine
LRMLM&Ro
123
88
0
11 Jul 2024
Long-horizon Locomotion and Manipulation on a Quadrupedal Robot with Large Language Models
Long-horizon Locomotion and Manipulation on a Quadrupedal Robot with Large Language Models
Yutao Ouyang
Jinhan Li
Yunfei Li
Zhongyu Li
Chao Yu
Koushil Sreenath
Yi Wu
110
15
0
08 Apr 2024
MLDT: Multi-Level Decomposition for Complex Long-Horizon Robotic Task
  Planning with Open-Source Large Language Model
MLDT: Multi-Level Decomposition for Complex Long-Horizon Robotic Task Planning with Open-Source Large Language Model
Yike Wu
Jiatao Zhang
Nan Hu
LanLing Tang
Guilin Qi
Jun Shao
Jie Ren
Wei Song
87
12
0
27 Mar 2024
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
Alexander Khazatsky
Karl Pertsch
Suraj Nair
Ashwin Balakrishna
Sudeep Dasari
...
Thomas Kollar
Sergey Levine
Chelsea Finn
Sergey Levine
Chelsea Finn
223
221
0
19 Mar 2024
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning
Jianlan Luo
Zheyuan Hu
Charles Xu
You Liang Tan
Jacob Berg
Archit Sharma
S. Schaal
Chelsea Finn
Abhishek Gupta
Sergey Levine
OffRLOnRL
95
48
0
29 Jan 2024
Mastering Stacking of Diverse Shapes with Large-Scale Iterative
  Reinforcement Learning on Real Robots
Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots
Thomas Lampe
A. Abdolmaleki
Sarah Bechtle
Sandy H. Huang
Jost Tobias Springenberg
...
Markus Wulfmeier
Jingwei Zhang
Francesco Nori
N. Heess
Martin Riedmiller
OffRL
64
9
0
18 Dec 2023
CogVLM: Visual Expert for Pretrained Language Models
CogVLM: Visual Expert for Pretrained Language Models
Weihan Wang
Qingsong Lv
Wenmeng Yu
Wenyi Hong
Ji Qi
...
Bin Xu
Juanzi Li
Yuxiao Dong
Ming Ding
Jie Tang
VLMMLLM
97
502
0
06 Nov 2023
SMART-LLM: Smart Multi-Agent Robot Task Planning using Large Language
  Models
SMART-LLM: Smart Multi-Agent Robot Task Planning using Large Language Models
S. S. Kannan
Vishnunandan L. N. Venkatesh
Byung-Cheol Min
LLMAGLM&Ro
64
121
0
18 Sep 2023
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with
  Language Models
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models
Wenlong Huang
Chen Wang
Ruohan Zhang
Yunzhu Li
Jiajun Wu
Li Fei-Fei
LM&Ro
111
517
0
12 Jul 2023
GPT-4 Technical Report
GPT-4 Technical Report
OpenAI OpenAI
OpenAI Josh Achiam
Steven Adler
Sandhini Agarwal
Lama Ahmad
...
Shengjia Zhao
Tianhao Zheng
Juntang Zhuang
William Zhuk
Barret Zoph
LLMAGMLLM
1.5K
14,631
0
15 Mar 2023
Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement
  Learning
Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning
Archit Sharma
Ahmed M. Ahmed
Rehaan Ahmad
Chelsea Finn
SSL
110
17
0
02 Mar 2023
Learn to Explain: Multimodal Reasoning via Thought Chains for Science
  Question Answering
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering
Pan Lu
Swaroop Mishra
Tony Xia
Liang Qiu
Kai-Wei Chang
Song-Chun Zhu
Oyvind Tafjord
Peter Clark
Ashwin Kalyan
ELMReLMLRM
283
1,286
0
20 Sep 2022
Latent Plans for Task-Agnostic Offline Reinforcement Learning
Latent Plans for Task-Agnostic Offline Reinforcement Learning
Erick Rosete-Beas
Oier Mees
Gabriel Kalweit
Joschka Boedecker
Wolfram Burgard
OffRL
106
85
0
19 Sep 2022
Don't Start From Scratch: Leveraging Prior Data to Automate Robotic
  Reinforcement Learning
Don't Start From Scratch: Leveraging Prior Data to Automate Robotic Reinforcement Learning
Homer Walke
Jonathan Yang
Albert Yu
Aviral Kumar
Jedrzej Orbik
Avi Singh
Sergey Levine
OffRLOnRL
61
31
0
11 Jul 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning
Contrastive Learning as Goal-Conditioned Reinforcement Learning
Benjamin Eysenbach
Tianjun Zhang
Ruslan Salakhutdinov
Sergey Levine
SSLOffRL
96
162
0
15 Jun 2022
A Generalist Agent
A Generalist Agent
Scott E. Reed
Konrad Zolna
Emilio Parisotto
Sergio Gomez Colmenarejo
Alexander Novikov
...
Yutian Chen
R. Hadsell
Oriol Vinyals
Mahyar Bordbar
Nando de Freitas
LM&RoLLMAGAI4CE
211
823
0
12 May 2022
What Matters in Language Conditioned Robotic Imitation Learning over
  Unstructured Data
What Matters in Language Conditioned Robotic Imitation Learning over Unstructured Data
Oier Mees
Lukás Hermann
Wolfram Burgard
LM&Ro
105
155
0
13 Apr 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents
Hierarchical Text-Conditional Image Generation with CLIP Latents
Aditya A. Ramesh
Prafulla Dhariwal
Alex Nichol
Casey Chu
Mark Chen
VLMDiffM
413
6,897
0
13 Apr 2022
PaLM: Scaling Language Modeling with Pathways
PaLM: Scaling Language Modeling with Pathways
Aakanksha Chowdhery
Sharan Narang
Jacob Devlin
Maarten Bosma
Gaurav Mishra
...
Kathy Meier-Hellstern
Douglas Eck
J. Dean
Slav Petrov
Noah Fiedel
PILMLRM
515
6,279
0
05 Apr 2022
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
Michael Ahn
Anthony Brohan
Noah Brown
Yevgen Chebotar
Omar Cortes
...
Ted Xiao
Peng Xu
Sichun Xu
Mengyuan Yan
Andy Zeng
LM&Ro
189
1,984
0
04 Apr 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
OSLMALM
880
13,148
0
04 Mar 2022
BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning
BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning
Eric Jang
A. Irpan
Mohi Khansari
Daniel Kappler
F. Ebert
Corey Lynch
Sergey Levine
Chelsea Finn
LM&Ro
263
549
0
04 Feb 2022
Goal-Conditioned Reinforcement Learning: Problems and Solutions
Goal-Conditioned Reinforcement Learning: Problems and Solutions
Minghuan Liu
Menghui Zhu
Weinan Zhang
87
142
0
20 Jan 2022
High-Resolution Image Synthesis with Latent Diffusion Models
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
3DV
463
15,665
0
20 Dec 2021
AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at
  Scale
AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale
Yao Lu
Karol Hausman
Yevgen Chebotar
Mengyuan Yan
Eric Jang
...
Ted Xiao
A. Irpan
Mohi Khansari
Dmitry Kalashnikov
Sergey Levine
OffRL
179
60
0
09 Nov 2021
Learning Language-Conditioned Robot Behavior from Offline Data and
  Crowd-Sourced Annotation
Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation
Suraj Nair
E. Mitchell
Kevin Chen
Brian Ichter
Silvio Savarese
Chelsea Finn
LM&RoOffRL
105
158
0
02 Sep 2021
Goal-Conditioned Reinforcement Learning with Imagined Subgoals
Goal-Conditioned Reinforcement Learning with Imagined Subgoals
Elliot Chane-Sane
Cordelia Schmid
Ivan Laptev
77
144
0
01 Jul 2021
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale
Dmitry Kalashnikov
Jacob Varley
Yevgen Chebotar
Benjamin Swanson
Rico Jonschkowski
Chelsea Finn
Sergey Levine
Karol Hausman
OffRL
107
280
0
16 Apr 2021
Actionable Models: Unsupervised Offline Reinforcement Learning of
  Robotic Skills
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills
Yevgen Chebotar
Karol Hausman
Yao Lu
Ted Xiao
Dmitry Kalashnikov
...
A. Irpan
Benjamin Eysenbach
Ryan Julian
Chelsea Finn
Sergey Levine
SSLOffRL
74
153
0
15 Apr 2021
Rapid Exploration for Open-World Navigation with Latent Goal Models
Rapid Exploration for Open-World Navigation with Latent Goal Models
Dhruv Shah
Benjamin Eysenbach
G. Kahn
Nicholas Rhinehart
Sergey Levine
72
75
0
12 Apr 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIPVLM
967
29,731
0
26 Feb 2021
The Ingredients of Real-World Robotic Reinforcement Learning
The Ingredients of Real-World Robotic Reinforcement Learning
Henry Zhu
Justin Yu
Abhishek Gupta
Dhruv Shah
Kristian Hartikainen
Avi Singh
Vikash Kumar
Sergey Levine
OffRL
120
179
0
27 Apr 2020
Google Landmarks Dataset v2 -- A Large-Scale Benchmark for
  Instance-Level Recognition and Retrieval
Google Landmarks Dataset v2 -- A Large-Scale Benchmark for Instance-Level Recognition and Retrieval
Tobias Weyand
A. Araújo
Bingyi Cao
Jack Sim
78
369
0
03 Apr 2020
Towards VQA Models That Can Read
Towards VQA Models That Can Read
Amanpreet Singh
Vivek Natarajan
Meet Shah
Yu Jiang
Xinlei Chen
Dhruv Batra
Devi Parikh
Marcus Rohrbach
EgoV
105
1,244
0
18 Apr 2019
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning
Vitchyr H. Pong
Murtaza Dalal
Steven Lin
Ashvin Nair
Shikhar Bahl
Sergey Levine
OffRLSSL
94
277
0
08 Mar 2019
Visual Foresight: Model-Based Deep Reinforcement Learning for
  Vision-Based Robotic Control
Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control
F. Ebert
Chelsea Finn
Sudeep Dasari
Annie Xie
Alex X. Lee
Sergey Levine
SSL
110
392
0
03 Dec 2018
Group Normalization
Group Normalization
Yuxin Wu
Kaiming He
233
3,669
0
22 Mar 2018
GONet: A Semi-Supervised Deep Learning Approach For Traversability
  Estimation
GONet: A Semi-Supervised Deep Learning Approach For Traversability Estimation
Noriaki Hirose
Amir Sadeghian
Nathan Tsoi
P. Goebel
Silvio Savarese
61
77
0
08 Mar 2018
Hindsight Experience Replay
Hindsight Experience Replay
Marcin Andrychowicz
Dwight Crow
Alex Ray
Jonas Schneider
Rachel Fong
Peter Welinder
Bob McGrew
Joshua Tobin
Pieter Abbeel
Wojciech Zaremba
OffRL
271
2,337
0
05 Jul 2017
Gaussian Error Linear Units (GELUs)
Gaussian Error Linear Units (GELUs)
Dan Hendrycks
Kevin Gimpel
172
5,037
0
27 Jun 2016
VQA: Visual Question Answering
VQA: Visual Question Answering
Aishwarya Agrawal
Jiasen Lu
Stanislaw Antol
Margaret Mitchell
C. L. Zitnick
Dhruv Batra
Devi Parikh
CoGe
214
5,497
0
03 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
463
43,328
0
11 Feb 2015
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