mirror of
https://github.com/facebookresearch/ReAgent.git
synced 2026-05-17 12:40:39 +00:00
Jason Gauci
358232bd8f
Summary: Pull Request resolved: https://github.com/facebookresearch/Horizon/pull/42 Reviewed By: kittipatv Differential Revision: D10440812 Pulled By: MisterTea fbshipit-source-id: bb1f5960f67d6bb9c96dd118810cdb4a57666750
Applied Reinforcement Learning @ Facebook
Overview
Horizon is an open source end-to-end platform for applied reinforcement learning (RL) developed and used at Facebook. Horizon is built in Python and uses PyTorch for modeling and training and Caffe2 for model serving. The platform contains workflows to train popular deep RL algorithms and includes data preprocessing, feature transformation, distributed training, counterfactual policy evaluation, and optimized serving. For more detailed information about Horizon see the white paper here.
Algorithms Supported
- Discrete-Action DQN
- Parametric-Action DQN
- Double DQN, Dueling DQN, Dueling Double DQN
- DDPG (DDPG)
Installation
Horizon can be installed via. Docker or manually. Detailed instructions on how to install Horizon can be found here.
Usage
Detailed instructions on how to use Horizon can be found here.
License
Horizon is released under a BSD license. Find out more about there here.