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DISCOVERY STUDIO / AI AND ML / CLASS 10
AI and ML · EXPERIMENT 14

Reinforcement learning

Agent, environment, action, reward and policy

Class 10 · Guided experience
VISUAL CONCEPT MAP · PROCESS

Reinforcement learning

Connect the stages of an AI workflow and see how evidence informs each decision.

Input / evidence Processing Output / insight
LEARN · TEST · IMPROVE

Mission briefing

Model a robot learning to navigate a maze.

Explore the concept, change an input, observe the result and explain what it means.

✧ CONCEPT EXPLORER GUIDED MODEL
01InputInformation enters
→
02ProcessModel or rules act
→
03OutputResult is produced
Explore the relationship Input → Process → Output

✎ Observation log

Record what you observed, what changed and one limitation.

CBSEMOCK AI & ML Virtual Labs · Educational conceptual model. Outputs are illustrative, not evidence of a validated or trained production AI system. Confirm class-wise syllabus alignment before assessment.

Teacher review · Practical rubric

Suggested assessment framework. Teacher may adjust marks to suit the class and task.

Teacher rubric score: 4 / 10

Complete record includes student details, practical notes, experiment title, date and teacher rubric. Existing lab-specific notebook and activities are retained.

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