🧭 Best Practices

Patterns and tooling for writing RL training pipelines that scale on Genesis.

• Writing an Efficient RL Environment - pre-allocated buffers, boolean-mask envs_idx, zero-copy state accessors, efficient robot reset and command application, errno-based termination.

• Domain Randomization - randomizing physics parameters across environments to train policies that generalize.