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Action Inference by Maximising Evidence: Zero-Shot Imitation from
  Observation with World Models

Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World Models

4 December 2023
Xingyuan Zhang
Philip Becker-Ehmck
Patrick van der Smagt
Maximilian Karl
ArXivPDFHTML

Papers citing "Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World Models"

5 / 5 papers shown
Title
Zero-Shot Offline Imitation Learning via Optimal Transport
Zero-Shot Offline Imitation Learning via Optimal Transport
Thomas Rupf
Marco Bagatella
Nico Gürtler
Jonas Frey
Georg Martius
OffRL
65
0
0
11 Oct 2024
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
OSLM
ALM
303
11,730
0
04 Mar 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,337
0
11 Nov 2021
Learning to Fly via Deep Model-Based Reinforcement Learning
Learning to Fly via Deep Model-Based Reinforcement Learning
Philip Becker-Ehmck
Maximilian Karl
Jan Peters
Patrick van der Smagt
SSL
27
37
0
19 Mar 2020
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
11,568
0
09 Mar 2017
1