> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/nemo/gym/v0.5.1/about/concepts/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/nemo/gym/_mcp/server.

# Concepts

> Understand what environments are, how they power evaluation, agent optimization, and training, and how the same components serve all three.

Understand what environments are, how they power evaluation, agent optimization, and training, and how the same components serve all three.

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## Concept Highlights

Each explainer below covers one foundational idea and links to deeper material.

#### [Environments](/about/concepts/environments)

Where the concept comes from, what components make up an environment, and how environments unify the evaluate-improve loop.

#### [Evaluation](/about/concepts/evaluation)

How environments are used to measure model and agent performance.

#### [Training](/about/concepts/training)

Post-training techniques and how environments are used for training.

#### [Key Terminology](/about/concepts/key-terminology)

Essential vocabulary for agent training, RL workflows, and NeMo Gym.

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> Understand what environments are, how they power evaluation, agent optimization, and training, and how the same components serve all three.

## Docs

- [Environments](https://docs.nvidia.com/nemo/gym/v0.5.1/about/concepts/environments.md): Environments decompose into dataset, agent harness, verifier, and state — unifying evaluation, agent optimization, and training.
- [Evaluation](https://docs.nvidia.com/nemo/gym/v0.5.1/about/concepts/evaluation.md): What evaluation is, how to evaluate agents and models, and what makes a good eval.
- [Training](https://docs.nvidia.com/nemo/gym/v0.5.1/about/concepts/training.md): Post-training techniques and how environments are used for training.
- [Key Terminology](https://docs.nvidia.com/nemo/gym/v0.5.1/about/concepts/key-terminology.md):