PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Find a file
2020-03-19 11:11:36 +01:00
.github Add templates 2020-01-27 14:36:11 +01:00
docs Release v0.3.0 2020-03-19 11:11:36 +01:00
scripts Bug fixes + add evaluate script 2019-09-06 10:44:55 +02:00
tests Fix entropy computation 2020-03-19 10:19:48 +01:00
torchy_baselines Release v0.3.0 2020-03-19 11:11:36 +01:00
.coveragerc Add results plotter 2020-02-12 14:31:15 +01:00
.gitignore Revert all changes for python 2 2020-01-22 16:18:27 +01:00
LICENSE Init: TD3 2019-09-05 17:29:41 +02:00
Makefile Minor edit to the doc 2020-01-28 10:24:02 +01:00
NOTICE Add copyright notice 2020-02-14 14:33:41 +01:00
README.md Update tests 2020-02-03 15:57:37 +01:00
setup.cfg Revert all changes for python 2 2020-01-22 16:18:27 +01:00
setup.py Sync predict with SB and add version file 2020-03-18 15:11:19 +01:00

Build Status Documentation Status

Torchy Baselines

PyTorch version of Stable Baselines, a set of improved implementations of reinforcement learning algorithms.

NOTE: Python 3.6 is required!

Implemented Algorithms

  • A2C

  • CEM-RL (with TD3)

  • PPO

  • SAC

  • TD3

  • SDE support for A2C, PPO, SAC and TD3.

Roadmap

  • cf github Roadmap

Run the Tests

pip install -e .[tests]
make pytest

Type check

pip install -e .[tests]
make type

Build the Documentation

pip install -e .[docs]
make doc

Spell check for the documentation:

make spelling

Citing the Project

To cite this repository in publications:

@misc{torchy-baselines,
  author = {Raffin, Antonin and Hill, Ashley and Ernestus, Maximilian and Gleave, Adam and Kanervisto, Anssi and Dormann, Noah},
  title = {Torchy Baselines},
  year = {2019},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/araffin/torchy-baselines}},
}