Published April 10, 2024
| Version v1
Dataset
Open
Data Release for: Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning
Authors/Creators
-
Haarnoja, Tuomas
(Researcher)1
-
Moran, Ben
(Researcher)1
-
Lever, Guy
(Researcher)1
-
Huang, Sandy H.
(Researcher)1
- Tirumala, Dhruva (Researcher)1
- Humplik, Jan (Researcher)1
-
Wulfmeier, Markus
(Researcher)1
-
Tunyasuvunakool, Saran
(Researcher)1
-
Siegel, Noah Y.
(Researcher)1
-
Hafner, Roland
(Researcher)1
-
Bloesch, Michael
(Researcher)1
- Hartikainen, Kristian (Researcher)1
- Byravan, Arunkumar (Researcher)1
- Hasenclever, Leonard (Researcher)1
-
Tassa, Yuval
(Researcher)1
- Sadeghi, Fereshteh (Researcher)1
- Batchelor, Nathan (Project member)1
- Casarini, Federico (Project member)1
- Saliceti, Stefano (Project member)1
-
Game, Charles
(Project member)1
- Sreendra, Neil (Project member)
- Patel, Kushal (Project member)
- Gwira, Marlon (Project member)
-
Huber, Andrea
(Project member)1
- Hurley, Nicole (Project member)1
-
Nori, Francesco
(Researcher)1
-
Hadsell, Raia
(Researcher)1
-
Heess, Nicolas
(Researcher)1
- 1. Google DeepMind
Description
Data Release for: Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning
This package releases a set of Python notebooks which provide raw data and reproduce quantitative results for "Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning".
Usage
These notebook files can be executed using a Jupyter local runtime with the following commands using
virtualenv.bashcd op3_soccervirtualenv venvsource venv/bin/activatepip install -r requirements.txtpip install notebookjupyter notebookAlternatively, the notebooks can be uploaded to and executed using the Colab runtime service, in which case the raw data in the data_strings directory will need uploading, and the directory structure replicating.
See the associated README file for more instructions on reproducing the results.
Dependencies
All Python notebooks are tested against Python
3.11 and 3.12 as well as the versioned dependencies specified in requirements.txt. All dependencies are satisfied by Colab as of March 2024 and can be installed locally with pip install -r requirements.txt if using a Jupyter local runtime.License and disclaimer
All software is licensed under the Apache License, Version 2.0 (Apache 2.0); you may not use this file except in compliance with the Apache 2.0 license. You may obtain a copy of the Apache 2.0 license at: https://www.apache.org/licenses/LICENSE-2.0
All other materials are licensed under the Creative Commons Attribution 4.0 International License (CC-BY). You may obtain a copy of the CC-BY license at: https://creativecommons.org/licenses/by/4.0/legalcode
Unless required by applicable law or agreed to in writing, all software and materials distributed here under the Apache 2.0 or CC-BY licenses are distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the licenses for the specific language governing permissions and limitations under those licenses.
This is not an official Google product.
Files
op3_soccer.zip
Files
(3.3 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:0ed236915ad39ce3ff2cd82bea12e282
|
3.3 MB | Preview Download |