Agentic AI - Future of AI Agents
Which of the following pseudocode snippets correctly updates a self-improving agent's policy based on a learning rate and observed gradient?
Which of the following pseudocode snippets correctly updates a self-improving agent's policy based on a learning rate and observed gradient?
easy📝 Syntax Q3 of 15
Step-by-Step Solution
Solution:
Step 1: Understand policy update
The policy is updated by moving in the direction of the gradient scaled by the learning rate.Step 2: Analyze options
policy = policy + learning_rate * gradient correctly adds the product of learning rate and gradient to the current policy.Final Answer:
policy = policy + learning_rate * gradient -> Option BQuick Check:
Update rule matches standard gradient ascent [OK]
Quick Trick: Policy update adds learning_rate times gradient [OK]
Common Mistakes:
- Subtracting instead of adding the gradient
- Dividing learning rate by gradient
- Multiplying policy incorrectly
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