Domain randomization for transferring deep neural networks from simulation to the real world
Josh Tobin low, Rachel Fong low, Alex Ray low, Jonas Schneider low, Wojciech Zaremba, Pieter Abbeel
The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.
this paper
works it cites
works citing it
node size = global citations · hover for the full title
Citation edge evidence
- Language Models are Few-Shot Learners→Domain randomization for transferring deep neural networks from simulation to the real wo…Legacy edge — source detail unavailable
- Shortcut learning in deep neural networks→Domain randomization for transferring deep neural networks from simulation to the real wo…Legacy edge — source detail unavailable
- Domain randomization for transferring deep neural networks from simulation to the real wo…→Adam: A Method for Stochastic OptimizationLegacy edge — source detail unavailable
- Domain randomization for transferring deep neural networks from simulation to the real wo…→[No title in the source record — DROPS (Schloss Dagstuhl – Leibniz Center for Informatics…Legacy edge — source detail unavailable
- Domain randomization for transferring deep neural networks from simulation to the real wo…→Trust Region Policy OptimizationLegacy edge — source detail unavailable
- Domain randomization for transferring deep neural networks from simulation to the real wo…→Deep Domain Confusion: Maximizing for Domain InvarianceLegacy edge — source detail unavailable
- Domain randomization for transferring deep neural networks from simulation to the real wo…→End-to-end training of deep visuomotor policiesLegacy edge — source detail unavailable
What this paper cites, inside the corpus
What cites it, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Language Models are Few-Shot Learners | 2020 | 3,020 |
| Shortcut learning in deep neural networks | 2020 | 2,040 |
Links
Topics
| Domain Adaptation and Few-Shot Learning | Computer Science |
| Advanced Neural Network Applications | Computer Science |
| Robotics and Sensor-Based Localization | Engineering |
Is this record sound?
complete
Nothing in this record contradicts itself and no field we check is missing.
- supports6 author record(s) attached.
- supports69 reference(s) recorded.
- supportsThe DOI's year agrees with the publication year.
- supportsA title is present.
Provenance
sha256 46f669157f96ea35…