reward system for autogpt

[horazius]

Duplicates

• I have searched the existing issues

Summary 💡

Introduce a reward system so that AutoGPT can also learn. You should be able to see all actions in a history. Possibly even be able to call up parameters and then evaluate them with positive "p" and "n" negative. This evaluation file could then be shared as an extension among different users or in the end even played back to openAi for learning.

Examples 🌈

No response

Motivation 🔦

To improve the software by crowd learning. The basics of ChatGPT

[Androbin]

Please note that GPT-4 can only do in-context learning, as the API does not currently support fine-tuning the model.

[Boostrix]

this is more important than people may think, you need this for any sort of fitness function / training purposes - regardless of whether the LLM supports this or not, the reward system could also be executed locally to self-optimize: #3868 (comment)

And all actions/commands have a certain cost associated with it.
So in general, all actions/commands need to expose their costs so that a local reward function can optimize for those:

• built-in diagnostics / self-test via dedicated command #4042

[Androbin]

I'm all for on-policy reinforcement learning, see the paper
LETI: Learning to Generate from Textual Interactions
https://arxiv.org/abs/2305.10314

[github-actions]

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[github-actions]

This issue was closed automatically because it has been stale for 10 days with no activity.