Welcome to myGym’s documentation!¶
We introduce myGym, a toolkit suitable for fast prototyping of neural networks in the area of robotic manipulation and navigation. Our toolbox is fully modular, so you can train your network to control different robots in several envinronments defined parametrically. You can also create curicullum of tasks and test your network set of tasks with inreasing complexity. There is automatic evaluation and benchmark tool for your network. We pretrained the neural networks for visual recognition of all objects in the simulator. We constantly train networks to provide baselines for the tasks in the toolbox. The training is 50x faster with the visualization turned on than realtime simulations.
Note
Mygym is now under construction
Overview¶
Modular Structure¶
We developed fully modular toolbox where user can easily combine the predefined elements into custom envinronment. There are specific modules for each component of the simulation. User can easily modify and add custom modules.
How to
How to - advanced
Baselines
Citing myGym¶
@misc{myGym,
author = {},
title = {myGym},
year = {2020},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {},
}