Reinforcement Learning for PyTorch
Maintainers
Project description
| Docs: https://torchrl.sanyamkapoor.com | Github: https://github.com/activatedgeek/torchrl |
TorchRL provides highly modular and extensible approach to experimenting with Reinforcement Learning. It allows for a registry based approach to running experiments, allows easy checkpointing, and updating hyper parameter sets. All this is accessible via a programmatic interface as well as a friendly CLI.
Objectives
- Modularity in the RL pipeline
- Clean implementations of fundamental ideas
- Fast Experimentation
- Scalability
- Low bar and High ceiling
Install
pip install torchrl
Install from source for the latest changes that have not been published to PyPI.
pip install https://github.com/activatedgeek/torchrl/tarball/master
This installs the torchrl package and the torchrl CLI.
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| Filename, size & hash SHA256 hash help | File type | Python version | Upload date |
|---|---|---|---|
| torchrl-1.8.3.tar.gz (29.0 kB) Copy SHA256 hash SHA256 | Source | None |
