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

Furong Huang

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 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 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 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 Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,659 0 09 Mar 2017