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mrjf merged 2 commits into from
Apr 3, 2026
Merged

Remove external Example run references from README and AGENTS.md #2

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Copilot Apr 3, 2026
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Remove external Example run references from README.md and AGENTS.md
Copilot Apr 3, 2026
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4 changes: 1 addition & 3 deletions AGENTS.md
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Expand Up @@ -80,9 +80,7 @@ Programs can include an Evolution Strategy section (inspired by OpenEvolve) that

- **Agentic Workflows**: https://github.com/github/gh-aw
- **Quick Start**: https://github.github.com/gh-aw/setup/quick-start/
- **Autoloop Examples**: https://github.com/githubnext/autoloop_examples
- Function minimization: [code](https://github.com/githubnext/autoloop_examples/tree/main/examples/function_minimization), [actions run](https://github.com/githubnext/autoloop_examples/actions/runs/23503588936), [PR](https://github.com/githubnext/autoloop_examples/pull/4)
- Signal processing: [code](https://github.com/githubnext/autoloop_examples/tree/main/examples/signal_processing), [actions run](https://github.com/githubnext/autoloop_examples/actions/runs/23511458560), [PR](https://github.com/githubnext/autoloop_examples/pull/11)
- **Autoloop Examples**: See the [example programs](.autoloop/programs/) included in this repo

## Conventions

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3 changes: 0 additions & 3 deletions README.md
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Expand Up @@ -71,23 +71,20 @@ Minimizes validation bits-per-byte (`val_bpb`) for LLM pretraining within a fixe

- **Metric**: `combined_score` = `1/val_bpb` (higher is better)
- **Code**: [`.autoloop/programs/autoresearch/`](.autoloop/programs/autoresearch/)
- **Example run**: [actions](https://github.com/githubnext/autoresearch_local/actions/runs/23924736866) | [PR](https://github.com/githubnext/autoresearch_local/pull/14)

### Function Minimization

Discovers optimization algorithms to find the global minimum of a multi-modal function `f(x,y) = sin(x)*cos(y) + sin(x*y) + (x^2+y^2)/20`. Starts from naive random search and evolves toward techniques like simulated annealing, basin-hopping, and gradient estimation.

- **Metric**: `combined_score` (higher is better), baseline 0.56
- **Code**: [`.autoloop/programs/function_minimization/`](.autoloop/programs/function_minimization/)
- **Example run**: [actions](https://github.com/githubnext/autoloop_examples/actions/runs/23503588936) | [PR](https://github.com/githubnext/autoloop_examples/pull/4)

### Signal Processing

Discovers and optimizes real-time adaptive filtering algorithms for noisy, non-stationary time series. Starts from a simple weighted moving average and evolves toward Kalman filters, wavelet denoising, and hybrid approaches.

- **Metric**: `overall_score` (higher is better), baseline 0.34
- **Code**: [`.autoloop/programs/signal_processing/`](.autoloop/programs/signal_processing/)
- **Example run**: [actions](https://github.com/githubnext/autoloop_examples/actions/runs/23511458560) | [PR](https://github.com/githubnext/autoloop_examples/pull/11)

### Circle Packing

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