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Learning Behavior Representations Through Multi-Timescale Bootstrapping

Learning Behavior Representations Through Multi-Timescale Bootstrapping

14 June 2022
Mehdi Azabou
Michael J. Mendelson
Maks Sorokin
S. Thakoor
Nauman Ahad
Carolina Urzay
Eva L. Dyer
    AI4CE
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Papers citing "Learning Behavior Representations Through Multi-Timescale Bootstrapping"

4 / 4 papers shown
Title
AmadeusGPT: a natural language interface for interactive animal
  behavioral analysis
AmadeusGPT: a natural language interface for interactive animal behavioral analysis
Shaokai Ye
Jessy Lauer
Mu Zhou
Alexander Mathis
Mackenzie W. Mathis
MLLM
LLMAG
27
17
0
10 Jul 2023
Learning signatures of decision making from many individuals playing the
  same game
Learning signatures of decision making from many individuals playing the same game
Michael J. Mendelson
Mehdi Azabou
Suma Jacob
Nicola Grissom
David Darrow
Becket Ebitz
Alexander B. Herman
Eva L. Dyer
8
0
0
21 Feb 2023
Seeing the forest and the tree: Building representations of both
  individual and collective dynamics with transformers
Seeing the forest and the tree: Building representations of both individual and collective dynamics with transformers
Ran Liu
Mehdi Azabou
M. Dabagia
Jingyun Xiao
Eva L. Dyer
AI4CE
27
19
0
10 Jun 2022
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement
  Learning
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning
N. Rudin
David Hoeller
Philipp Reist
Marco Hutter
110
541
0
24 Sep 2021
1