# 🚀Using SLM Lab

- [Lab Command](https://slm-lab.gitbook.io/slm-lab/master/using-slm-lab/slm-lab-command.md)
- [Lab Organization](https://slm-lab.gitbook.io/slm-lab/master/using-slm-lab/lab-organization.md)
- [Train and Enjoy: REINFORCE CartPole](https://slm-lab.gitbook.io/slm-lab/master/using-slm-lab/train-and-enjoy-dqn-cartpole.md)
- [Agent Spec: DDQN+PER on LunarLander](https://slm-lab.gitbook.io/slm-lab/master/using-slm-lab/agent-spec-ddqn+per-on-lunarlander.md)
- [Env Spec: A2C on Pong](https://slm-lab.gitbook.io/slm-lab/master/using-slm-lab/environment-spec-a2c-on-bipedalwalker.md)
- [GPU Usage: PPO on Pong](https://slm-lab.gitbook.io/slm-lab/master/using-slm-lab/gpu-usage-ppo-on-pong.md)
- [Parallelizing Training: Async SAC on Humanoid](https://slm-lab.gitbook.io/slm-lab/master/using-slm-lab/parallelizing-training-async-sac-on-humanoid.md)
- [Experiment and Search Spec: PPO on Breakout](https://slm-lab.gitbook.io/slm-lab/master/using-slm-lab/search-spec-ppo-on-breakout.md)
- [Run Benchmark: A2C on Atari Games](https://slm-lab.gitbook.io/slm-lab/master/using-slm-lab/run-benchmark-a2c-on-atari-games.md)
- [Meta Spec: High Level Specifications](https://slm-lab.gitbook.io/slm-lab/master/using-slm-lab/meta-spec-high-level-specifications.md)
- [Post-Hoc Analysis](https://slm-lab.gitbook.io/slm-lab/master/using-slm-lab/post-hoc-analysis.md)
- [TensorBoard: Visualizing Models and Actions](https://slm-lab.gitbook.io/slm-lab/master/using-slm-lab/tensorboard-visualizing-models-and-actions.md)
- [Using SLM Lab In Your Project](https://slm-lab.gitbook.io/slm-lab/master/using-slm-lab/using-slm-lab-in-your-project.md)


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://slm-lab.gitbook.io/slm-lab/master/using-slm-lab.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.