Skip to main content

Framework for Reinforcement Learning with Temporal Goals.

Project description

RLTG Documentation Status Updates Join the chat at

Framework for Reinforcement Learning with Temporal Goals defined by LDLf formulas.


  • Effective Modularization of a Reinforcement Learning system;

  • Easy setup of the “training loop”;

  • RL algorithms (here “Brain”) supported: Sarsa and QLearning multi-step

  • Exploration policy supported: random policy;

  • Support for temporal goal defined by LDLf formulas.


To see some example, please refer to rltg-examples.


This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.


0.1.0 (2018-04-04)

  • First release on PyPI.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

rltg-0.1.2.post1.tar.gz (22.8 kB view hashes)

Uploaded source

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page