Learning agents
4 likes7,531 views
Learning agents can adapt to their environment, choose actions based on past experiences, and improve their performance over time. They have a simple structure that includes a performance standard, learning element, and problem generator. Learning agents are applied to tasks like clustering, classification, prediction, and can solve many problems in fields such as search engines, computer vision, self-driving cars, and gesture recognition.
Learning agents
- 2. Learning agents Description of learning agent Structure of learning agent Application scope
- 3. Description of learning agents
- 4. Learning agents 弌an adapt to the environment Chooses action upon on precepts history Imporves performance by time
- 5. Structure of learning agent
- 6. Structure of learning agent Performance standard (cost function) Learning element Problem generator Performance element
- 7. Structure of learning agent Performance standard Sensors Critic Learning element Performance element Problem generator Actuators
- 9. Tasks 弌lustering Classification Prediction etc
- 10. Application scope Search Engines (like google) Computer Vision Self-driving car Recognition of gestures
- 11. Learning agents Improve performance by time Simple structure Solve many problems in AI
- 12. LEARNING AGENTS