Add top-level README, .gitignore, and per-component directories (recording, labeling backend/frontend, training, inference, control) with READMEs and pyproject.toml/package skeletons per CLAUDE.md §2-3. No implementation yet, just structure to build against. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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 .