This is the Linux app named Stable Baselines3 whose latest release can be downloaded as v2.7.0_n-stepreturnsforalloff-policyalgorithmsviathe_n_steps_argumentsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
Stable Baselines3
DESCRIPTION:
Stable Baselines3 (SB3) is a set of reliable implementations of reinforcement learning algorithms in PyTorch. It is the next major version of Stable Baselines. You can read a detailed presentation of Stable Baselines3 in the v1.0 blog post or our JMLR paper. These algorithms will make it easier for the research community and industry to replicate, refine, and identify new ideas, and will create good baselines to build projects on top of. We expect these tools will be used as a base around which new ideas can be added, and as a tool for comparing a new approach against existing ones. We also hope that the simplicity of these tools will allow beginners to experiment with a more advanced toolset, without being buried in implementation details.
Features
- State of the art RL methods
- Custom environments
- Documentation available
- Dict observation space support
- Ipython / Notebook friendly
- Tensorboard support
- High code coverage
- Custom callback
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/stable-baselines3.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.