'''Q-learning''' is a reinforcement learning algorithm that trains an agent to assign values to its possible actions based on its current state, without requiring a model of the environment (model-free). It can handle problems with stochastic transitions and rewards without requiring adaptations.
Wikidata facts
- Instance of
- algorithm
- Subclass of
- model-free reinforcement learning
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- Stack Exchange tag
- ai.stackexchange.com/tags/q-learning
- facet of
- reinforcement learning
- ACM Classification Code (2012)
- 10010329
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Article · 日本語
Q学習（Qがくしゅう、英: Q-learning）は、機械学習分野における強化学習の一種である。
Abstract from DBpedia / Wikipedia · CC BY-SA