How can we improve maze testing for AI models?
We can enhance maze testing by incorporating more complex scenarios and diverse environments for the AI to navigate.
What specific metrics should we use to evaluate the AI's performance in maze testing?
Key metrics include completion time, number of moves taken, and the success rate in finding the exit.
Can we use simulations to create different maze configurations?
Absolutely! Simulations allow us to generate various maze layouts and test the AI's adaptability.
What role does reinforcement learning play in maze navigation?
Reinforcement learning helps the AI learn optimal paths through trial and error, improving its navigation skills over time.
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