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Provable Guarantees for Generative Behavior Cloning: Bridging Low-Level
  Stability and High-Level Behavior

Provable Guarantees for Generative Behavior Cloning: Bridging Low-Level Stability and High-Level Behavior

27 July 2023
Adam Block
Ali Jadbabaie
Daniel Pfrommer
Max Simchowitz
Russ Tedrake
    DiffM
ArXivPDFHTML

Papers citing "Provable Guarantees for Generative Behavior Cloning: Bridging Low-Level Stability and High-Level Behavior"

11 / 11 papers shown
Title
Dense Dynamics-Aware Reward Synthesis: Integrating Prior Experience with Demonstrations
Dense Dynamics-Aware Reward Synthesis: Integrating Prior Experience with Demonstrations
Cevahir Köprülü
Po-han Li
Tianyu Qiu
Ruihan Zhao
T. Westenbroek
David Fridovich-Keil
Sandeep P. Chinchali
Ufuk Topcu
OffRL
87
0
0
02 Dec 2024
Diffusing States and Matching Scores: A New Framework for Imitation Learning
Diffusing States and Matching Scores: A New Framework for Imitation Learning
Runzhe Wu
Yiding Chen
Gokul Swamy
Kianté Brantley
Wen Sun
DiffM
37
3
0
17 Oct 2024
Data Efficient Behavior Cloning for Fine Manipulation via
  Continuity-based Corrective Labels
Data Efficient Behavior Cloning for Fine Manipulation via Continuity-based Corrective Labels
Abhay Deshpande
Liyiming Ke
Quinn Pfeifer
Abhishek Gupta
S. Srinivasa
45
1
0
29 May 2024
JUICER: Data-Efficient Imitation Learning for Robotic Assembly
JUICER: Data-Efficient Imitation Learning for Robotic Assembly
Lars Ankile
Anthony Simeonov
Idan Shenfeld
Pulkit Agrawal
LM&Ro
27
15
0
04 Apr 2024
CCIL: Continuity-based Data Augmentation for Corrective Imitation
  Learning
CCIL: Continuity-based Data Augmentation for Corrective Imitation Learning
Liyiming Ke
Yunchu Zhang
Abhay Deshpande
S. Srinivasa
Abhishek Gupta
OffRL
19
12
0
19 Oct 2023
On the Statistical Complexity of Estimation and Testing under Privacy
  Constraints
On the Statistical Complexity of Estimation and Testing under Privacy Constraints
Clément Lalanne
Aurélien Garivier
Rémi Gribonval
16
7
0
05 Oct 2022
Convergence of score-based generative modeling for general data
  distributions
Convergence of score-based generative modeling for general data distributions
Holden Lee
Jianfeng Lu
Yixin Tan
DiffM
177
128
0
26 Sep 2022
Sampling is as easy as learning the score: theory for diffusion models
  with minimal data assumptions
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions
Sitan Chen
Sinho Chewi
Jungshian Li
Yuanzhi Li
Adil Salim
Anru R. Zhang
DiffM
123
245
0
22 Sep 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
622
0
20 May 2022
What Matters in Learning from Offline Human Demonstrations for Robot
  Manipulation
What Matters in Learning from Offline Human Demonstrations for Robot Manipulation
Ajay Mandlekar
Danfei Xu
J. Wong
Soroush Nasiriany
Chen Wang
Rohun Kulkarni
Li Fei-Fei
Silvio Savarese
Yuke Zhu
Roberto Martín-Martín
OffRL
147
469
0
06 Aug 2021
On the Sample Complexity of Stability Constrained Imitation Learning
On the Sample Complexity of Stability Constrained Imitation Learning
Stephen Tu
Alexander Robey
Tingnan Zhang
Nikolai Matni
41
38
0
18 Feb 2021
1