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Smart City Dispatch · Glossary

Reinforcement learning

Learning in which an agent improves behavior through interaction with an environment and reward signals.

Reinforcement learning

Learning in which an agent improves behavior through interaction with an environment and reward signals.

Smart-city relevance: Potentially useful for control and optimization, but real-world safety and exploration constraints make simulation important.

Related: Agent; control

Machine Learning, AI, and Analytical Algorithms · Source page 37

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