Completed
- Intro & Overview
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Language Models as Zero-Shot Planners - Extracting Actionable Knowledge for Embodied Agents
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- 1 - Intro & Overview
- 2 - The VirtualHome environment
- 3 - The problem of plan evaluation
- 4 - Contributions of this paper
- 5 - Start of interview
- 6 - How to use language models with environments?
- 7 - What does model size matter?
- 8 - How to fix the large models' outputs?
- 9 - Possible improvements to the translation procedure
- 10 - Why does Codex perform so well?
- 11 - Diving into experimental results
- 12 - Future outlook