Framework for Reinforcement Learning with Temporal Goals.
Framework for Reinforcement Learning with Temporal Goals defined by LDLf formulas.
Free software: MIT license
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.
First release on PyPI.
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