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README.md
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# Code as Policies Tabletop Manipulation Interactive Demo
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This notebook is a part of the open-source code release associated with the paper:
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[Code as Policies: Language Model Programs for Embodied Control](https://code-as-policies.github.io/)
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This notebook gives an interactive demo for the simulated tabletop manipulation domain, seen in the paper section IV.D
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## Preparations
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1. Obtain an [OpenAI API Key](https://openai.com/blog/openai-api/)
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2. Gain Codex access by [joining the waitlist](https://openai.com/blog/openai-codex/)
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Once you have Codex access you can use `code-davinci-002`. Using the GPT-3 model (`text-dainvci-002`) is also ok, but performance won't be as good (there will be more code logic errors).
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## Usage
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---
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# Code as Policies Tabletop Manipulation Interactive Demo
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+
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This notebook is a part of the open-source code release associated with the paper:
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+
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[Code as Policies: Language Model Programs for Embodied Control](https://code-as-policies.github.io/)
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+
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This notebook gives an interactive demo for the simulated tabletop manipulation domain, seen in the paper section IV.D
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## Preparations
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1. Obtain an [OpenAI API Key](https://openai.com/blog/openai-api/)
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+
2. Gain Codex access by [joining the waitlist](https://openai.com/blog/openai-codex/)
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+
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Once you have Codex access you can use `code-davinci-002`. Using the GPT-3 model (`text-dainvci-002`) is also ok, but performance won't be as good (there will be more code logic errors).
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## Usage
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