# Control Agent

Consumes the state vector produced by the inference loop and predicts an action.
Phase 1: behavior cloning, trained to imitate human input recordings. Phase 2 (later,
design open): autonomous reinforcement learning. Architecture should allow multiple
distinct agent "personalities" (e.g. speedrunner, score maximizer) trained later on
top of the same perception stack.

See CLAUDE.md §3.6 for full requirements.

**Status:** not yet implemented.

## Setup

```
python -m venv .venv
source .venv/bin/activate
pip install -e .
```