swarna-kpaul/neoplanner
Sequential planner for large text based environments
This tool helps AI researchers and developers design agents that can navigate and solve complex problems in environments described purely through text, even when there are many possible actions and states. It takes a problem description and a large language model API key as input, and outputs a sequence of optimal actions for the agent to take. This is ideal for those building and evaluating AI systems in text-based simulations or interactive fiction games.
No commits in the last 6 months.
Use this if you need an AI agent to efficiently find the best sequence of actions in a text-based environment with a vast number of possibilities.
Not ideal if your environment involves visual or numerical data, or if you are not working with large language models.
Stars
12
Forks
—
Language
Python
License
MIT
Category
Last pushed
Dec 13, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/generative-ai/swarna-kpaul/neoplanner"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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