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Even more than the complex prompts, they give the bot access to a variety of functions implementing primitive actions, which are crafted to give helpful hints if the bot is struggling. For example, the code for mining a block:
https://github.com/MineDojo/Voyager/blob/main/voyager/contro...
This function keeps a global count of how many times it's been called to mine a block that doesn't exist nearby, and will warn the bot that it should try exploring first instead.
There's nothing necessarily wrong with all that - it's an important research question to understand how much hand-holding the agent needs to be able to do these sorts of tasks. But readers should be aware that it's hardly dropping an agent into the world and leaving it to its own devices.
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[D] - Are there any AI benchmarks that involve successful longterm problem solving when running as autonomous agents (like in autogpt)? How do we compare the effectiveness of models as agents?