torchrl 1.8.4

Reinforcement Learning for PyTorch

Docs: https://torchrl.sanyamkapoor.com

Github: https://github.com/salmanazarr/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/salmanazarr/torchrl/tarball/master

This installs the torchrl package and the torchrl CLI.