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Daphne
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Fix space and game files.
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docs/src/pufferdrive-2.0.md

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> We introduce **PufferDrive 2.0**, a fast, easy-to-use driving simulator for reinforcement learning (RL). Built on [PufferLib](https://puffer.ai/), it allows you to train agents at **300,000 steps per second** on a single GPU. You can solve thousands of multi-agent scenarios in just 15 minutes. Evaluation and visualization run directly in the browser. This post highlights the main features and traces the sequence of projects that led to PufferDrive 2.0.
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<iframe width="500" height="300" src="https://www.youtube.com/embed/LfQ324R-cbE" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
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## Highlights
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- **Super-fast self-play RL**: Train agents on 10,000 multi-agent Waymo scenarios and reach a near-perfect score in under in about **15 minutes on a single GPU** where [earlier results](https://arxiv.org/abs/2502.14706) took 24 hours.

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