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Framework for Reinforcement Learning with Temporal Goals.

Project description

RLTG

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

Features

  • 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.

Examples

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

Credits

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

History

0.1.0 (2018-04-04)

  • First release on PyPI.

Project details


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