reinforcement learning
🤖 CT-AI
Official ISTQB Definition
A type of machine learning where an agent learns to make decisions by taking actions in an environment to maximize cumulative reward.
3 Ways to Think About It
The Quick Take
AI that learns through trial and error - testing must cover the reward system and long-term behavior.
Look Closer
Systems that learn by doing, requiring simulation environments to safely test learning over many iterations.
The Bottom Line
AI trained like a game player, where testers must verify the reward function doesn't encourage bad behavior.
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