What are the common metrics used in reinforcement learning?
An example of an AI chatbot conversation about common metrics in reinforcement learning.
What are the common metrics used in reinforcement learning?
Common metrics in reinforcement learning include cumulative reward, average reward, and episode length.
Can you explain what cumulative reward means?
Cumulative reward is the total reward received by an agent over time, reflecting its overall performance.
How is average reward calculated?
Average reward is calculated by dividing the total reward by the number of episodes or time steps.
Are there any other important metrics I should know about?
Yes, other important metrics include convergence rate, policy stability, and exploration vs. exploitation balance.
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