Summary of Steve-audio: Expanding the Goal Conditioning Modalities Of Embodied Agents in Minecraft, by Nicholas Lenzen et al.
STEVE-Audio: Expanding the Goal Conditioning Modalities of Embodied Agents in Minecraft
by Nicholas Lenzen, Amogh Raut, Andrew Melnik
First submitted to arxiv on: 1 Dec 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Artificial Intelligence (cs.AI); Robotics (cs.RO)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper introduces a method to extend the control modalities of generative agents trained with latent CLIP embeddings. Specifically, it presents a methodology to learn a mapping from new input modalities to the latent goal space of the agent. The approach is applied to the challenging Minecraft domain, and extends the goal conditioning to include the audio modality. The resulting audio-conditioned agent performs on a comparable level to text- and visual-conditioned agents. The paper also explores the tradeoffs that occur when conditioning on different modalities. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper helps computers learn to follow instructions by creating a new way to control what they do. It’s like teaching a robot to play Minecraft! The researchers created a special kind of computer program that can understand audio, text, and pictures, and use all three to make decisions. They tested this program in Minecraft and found it could do just as well as programs that only used one type of input. This is important because it might help computers learn new things more easily. |
