Quantization-Free Autoregressive Action Transformer

NeurIPSSpotlight2025

Authors
Ziyad Sheebaelhamd, Michael Tschannen, Michael Muehlebach, Claire Vernade
Venue
NeurIPS 2025
Track
Spotlight

TL;DR

Current transformer-based imitation learning approaches introduce discrete action representations and train an autoregressive transformer decoder on the resulting latent code…

Opening excerpt from the authors’ abstract. source

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Topics

imitation learning quantization transformer

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