# Train Asimov 1

> Train new locomotion policies and deploy them to Asimov 1.

- Page: https://docs.menlo.ai/asimov/1/train
- Section: Asimov › Asimov 1

> [!NOTE]
>
> **Robot-side training guidance TBC**
>
> Guidance for deploying a trained policy onto Asimov 1 — simulation-to-hardware transfer, emulator testing, and on-robot rollout — is coming soon. This page is TBC.

## Training Tutorials

The locomotion training tutorials live in the [Training](https://docs.menlo.ai/guides/locomotion-training.md) section:

- [Understanding your simulation environment](https://docs.menlo.ai/guides/locomotion-training/understanding-your-simulation-environment.md)
- [Reinforcement learning for locomotion](https://docs.menlo.ai/guides/locomotion-training/reinforcement-learning-for-locomotion.md)
- [Simulation training environment](https://docs.menlo.ai/guides/locomotion-training/reinforcement-learning-simulation-training-environment.md)
- [Reward design](https://docs.menlo.ai/guides/locomotion-training/reinforcement-learning-reward-design.md)
- [Domain randomization](https://docs.menlo.ai/guides/locomotion-training/reinforcement-learning-domain-randomization.md)
- [System identification](https://docs.menlo.ai/guides/locomotion-training/reinforcement-learning-deep-dive-system-identification.md)
- [Policy deployment](https://docs.menlo.ai/guides/locomotion-training/reinforcement-learning-policy-deployment.md)