We've published a new demo: Decision Tree
An AI-driven experiment utilizing reinforcement learning can be visualized as a decision tree. However, given the intricate nature of these graphs, specific display techniques might be necessary. Strategies such as reducing the number of node and link labels, applying color coding to links based on decision outcomes, consolidating branch results into a single result, and offering detailed information on subsequent decisions upon request can enhance the clarity of the visualization. Here is an illustrative example of a decision tree with randomized data.
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