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>
20 lines
547 B
Markdown
20 lines
547 B
Markdown
# Control Agent
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Consumes the state vector produced by the inference loop and predicts an action.
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Phase 1: behavior cloning, trained to imitate human input recordings. Phase 2 (later,
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design open): autonomous reinforcement learning. Architecture should allow multiple
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distinct agent "personalities" (e.g. speedrunner, score maximizer) trained later on
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top of the same perception stack.
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See CLAUDE.md §3.6 for full requirements.
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**Status:** not yet implemented.
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## Setup
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```
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python -m venv .venv
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source .venv/bin/activate
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pip install -e .
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```
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