| 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.
- Modularity in the RL pipeline
- Clean implementations of fundamental ideas
- Fast Experimentation
- Scalability
- Low bar and High ceiling
pip install torchrlInstall from source for the latest changes that have not been published to PyPI.
pip install https://github.com/activatedgeek/torchrl/tarball/masterThis installs the torchrl package and the torchrl CLI.