A Python library for Reinforcement Learning Datasets.
Project description
RLDS is a library to manipulate datasets with episodic structure. When data is loaded as a dataset of episodes containing nested datasets of steps, RLDS provides utils to manipulate them and makes it easier to perform transformations that are common in RL, Apprenticeship Learning or other algorithms that learn from experience
For more information see github repository.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distribution
Close
Hashes for rlds-0.1.8-py3-none-manylinux2010_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 274275038049f2f7ceb313ea100f15156fd69d311d23f60e87f8e121ab82ad2b |
|
MD5 | 2da21b62b18081f7fb79f67195ce6aa7 |
|
BLAKE2b-256 | 7b760aba1fc99e7357d8a995cfa2d117ab923f74836d1ec5748d8959b1ec2840 |