07-representation-learning.pdf
web.stanford.edu · 3,056 words · saved by 1 readers
N/A
Representations and Representation Learning Bryan Chiang and Jeannette Bohg February 7, 2022 1 Overview 1.1 States and Representations The state of a dynamical system is basically a compressed description and cap- tures the key aspects of this system. These aspects may be time-varying or fixed parameters. Consider the system shown in Figure 1: a walking robot moving along a vertical plane. In this example, the time-varying quantities may con- sist of information about the robot’s current pose (position and orientation) in space,…
saved by
related reading
- pdfopenreview.net
- State of Robot Learning, December 2025vedder.io
- ProbabilisticRobotics.pdfdocs.ufpr.br
- The Little Book of Deep Learningfleuret.org
- 2203.00543arxiv.org
- 2006.10742arxiv.org
- 23_ese650.pdfpratikac.github.io
- nn-notes.pdfboris-hanin.github.io
- How Can We Make Robotics More like Generative Modeling? | Eric Jangevjang.com
- Ch. 21 - Imitation Learningunderactuated.mit.edu
- Learning 3D object-centric representation through predictionarxiv.org
- RLAlgsInMDPs.pdfsites.ualberta.ca