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Make-An-Agent: A Generalizable Policy Network Generator with
  Behavior-Prompted Diffusion

Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion

15 July 2024
Yongyuan Liang
Tingqiang Xu
Kaizhe Hu
Guangqi Jiang
Furong Huang
Huazhe Xu
    LM&Ro
    VGen
    DiffM
ArXivPDFHTML

Papers citing "Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion"

4 / 4 papers shown
Title
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask
  Representation via Temporal Action-Driven Contrastive Loss
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss
Ruijie Zheng
Yongyuan Liang
Xiyao Wang
Shuang Ma
Hal Daumé
Huazhe Xu
John Langford
Praveen Palanisamy
Kalyan Shankar Basu
Furong Huang
32
5
0
09 Feb 2024
Hyper-Representations as Generative Models: Sampling Unseen Neural
  Network Weights
Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights
Konstantin Schurholt
Boris Knyazev
Xavier Giró-i-Nieto
Damian Borth
48
38
0
29 Sep 2022
Learning to Learn with Generative Models of Neural Network Checkpoints
Learning to Learn with Generative Models of Neural Network Checkpoints
William S. Peebles
Ilija Radosavovic
Tim Brooks
Alexei A. Efros
Jitendra Malik
UQCV
73
64
0
26 Sep 2022
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,659
0
09 Mar 2017
1