Framework for Reinforcement Learning with Temporal Goals.
Project description
RLTG
Framework for Reinforcement Learning with Temporal Goals defined by LDLf formulas.
Free software: MIT license
Documentation: https://rltg.readthedocs.io.
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.
Release history Release notifications | RSS feed
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