Description
Q-learning is a model-free reinforcement learning algorithm to learn the value of an action in a particular state. It does not require a model of the environment (hence "model-free"), and it can handle problems with stochastic transitions and rewards without requiring adaptations.
Technical Details
| Framework | MITRE D3FEND |
| Ontology URI | d3f:Q-Learning |
| Local Identifier | Q-Learning |
| Publication Status | Exists in ontology only |