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arcticfly merged 2 commits into from
Aug 26, 2025
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Update nb links #371

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f2f5d31
Update links to notebooks in docs
arcticfly Aug 26, 2025
bb068c0
Fix benchmark links
arcticfly Aug 26, 2025
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20 changes: 10 additions & 10 deletions README.md
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Expand Up @@ -65,16 +65,16 @@ ART is an open-source RL framework that improves agent reliability by allowing L

## 📒 Notebooks

| Agent Task | Example Notebook | Description | Comparative Performance |
| ------------------- | -------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **ART•E LangGraph** | [🏋️ Train agent](https://colab.research.google.com/github/openpipe/art-notebooks/blob/main/examples/langgraph/art-e-langgraph.ipynb) | Qwen 2.5 7B learns to search emails using LangGraph | [Link coming soon] |
| **MCP•RL** | [🏋️ Train agent](https://colab.research.google.com/github/openpipe/art-notebooks/blob/main/examples/mcp-rl/mcp-rl.ipynb) | Qwen 2.5 3B masters the NWS MCP server | [Link coming soon] |
| **ART•E [RULER]** | [🏋️ Train agent](https://colab.research.google.com/github/openpipe/art-notebooks/blob/main/examples/art-e.ipynb) | Qwen 2.5 7B learns to search emails using RULER | <img src="https://github.com/openpipe/art/raw/main/assets/benchmarks/email_agent/accuracy-training-progress.svg" height="72"> [benchmarks](/examples/art-e/art_e/evaluate/display_benchmarks.ipynb) |
| **2048** | [🏋️ Train agent](https://colab.research.google.com/github/openpipe/art-notebooks/blob/main/examples/2048/2048.ipynb) | Qwen 2.5 3B learns to play 2048 | <img src="https://github.com/openpipe/art/raw/main/assets/benchmarks/2048/accuracy-training-progress.svg" height="72"> [benchmarks](/examples/2048/benchmark_2048.ipynb) |
| **Temporal Clue** | [🏋️ Train agent](https://colab.research.google.com/github/openpipe/art-notebooks/blob/main/examples/temporal_clue/temporal-clue.ipynb) | Qwen 2.5 7B learns to solve Temporal Clue | [Link coming soon] |
| **Tic Tac Toe** | [🏋️ Train agent](https://colab.research.google.com/github/openpipe/art-notebooks/blob/main/examples/tic_tac_toe/tic-tac-toe.ipynb) | Qwen 2.5 3B learns to play Tic Tac Toe | <img src="https://github.com/openpipe/art/raw/main/assets/benchmarks/tic-tac-toe-local/accuracy-training-progress.svg" height="72"> [benchmarks](/examples/tic_tac_toe/benchmark_tic_tac_toe.ipynb) |
| **Codenames** | [🏋️ Train agent](https://colab.research.google.com/github/openpipe/art-notebooks/blob/main/examples/codenames/Codenames_RL.ipynb) | Qwen 2.5 3B learns to play Codenames | <img src="https://github.com/openpipe/art/raw/main/assets/benchmarks/codenames/win_rate_over_time.png" height="72"> [benchmarks](/examples/codenames/Codenames_RL.ipynb) |
| **AutoRL [RULER]** | [🏋️ Train agent](https://colab.research.google.com/github/openpipe/art-notebooks/blob/main/examples/auto_rl.ipynb) | Train Qwen 2.5 7B to master any task | [Link coming soon] |
| Agent Task | Example Notebook | Description | Comparative Performance |
| ------------------- | -------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **ART•E LangGraph** | [🏋️ Train agent](https://colab.research.google.com/github/openpipe/art-notebooks/blob/main/examples/langgraph/art-e-langgraph.ipynb) | Qwen 2.5 7B learns to search emails using LangGraph | [Link coming soon] |
| **MCP•RL** | [🏋️ Train agent](https://colab.research.google.com/github/openpipe/art-notebooks/blob/main/examples/mcp-rl/mcp-rl.ipynb) | Qwen 2.5 3B masters the NWS MCP server | [Link coming soon] |
| **ART•E [RULER]** | [🏋️ Train agent](https://colab.research.google.com/github/openpipe/art-notebooks/blob/main/examples/art-e.ipynb) | Qwen 2.5 7B learns to search emails using RULER | <img src="https://github.com/openpipe/art/raw/main/assets/benchmarks/email_agent/accuracy-training-progress.svg" height="72"> [benchmarks](/dev/art-e/art_e/evaluate/display_benchmarks.ipynb) |
| **2048** | [🏋️ Train agent](https://colab.research.google.com/github/openpipe/art-notebooks/blob/main/examples/2048/2048.ipynb) | Qwen 2.5 3B learns to play 2048 | <img src="https://github.com/openpipe/art/raw/main/assets/benchmarks/2048/accuracy-training-progress.svg" height="72"> [benchmarks](/examples/2048/display_benchmarks.ipynb) |
| **Temporal Clue** | [🏋️ Train agent](https://colab.research.google.com/github/openpipe/art-notebooks/blob/main/examples/temporal_clue/temporal-clue.ipynb) | Qwen 2.5 7B learns to solve Temporal Clue | [Link coming soon] |
| **Tic Tac Toe** | [🏋️ Train agent](https://colab.research.google.com/github/openpipe/art-notebooks/blob/main/examples/tic_tac_toe/tic-tac-toe.ipynb) | Qwen 2.5 3B learns to play Tic Tac Toe | <img src="https://github.com/openpipe/art/raw/main/assets/benchmarks/tic-tac-toe-local/accuracy-training-progress.svg" height="72"> [benchmarks](/examples/tic_tac_toe/display-benchmarks.ipynb) |
| **Codenames** | [🏋️ Train agent](https://colab.research.google.com/github/openpipe/art-notebooks/blob/main/examples/codenames/Codenames_RL.ipynb) | Qwen 2.5 3B learns to play Codenames | <img src="https://github.com/openpipe/art/raw/main/assets/benchmarks/codenames/win_rate_over_time.png" height="72"> [benchmarks](https://github.com/OpenPipe/art-notebooks/blob/main/examples/codenames/Codenames_RL.ipynb) |
| **AutoRL [RULER]** | [🏋️ Train agent](https://colab.research.google.com/github/openpipe/art-notebooks/blob/main/examples/auto_rl.ipynb) | Train Qwen 2.5 7B to master any task | [Link coming soon] |

## 📰 ART News

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2 changes: 1 addition & 1 deletion docs/fundamentals/art-backend.mdx
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Expand Up @@ -141,7 +141,7 @@ To see `LocalBackend` and `SkyPilotBackend` in action, try the examples below.
<Card
title="2048 Notebook"
icon="laptop-code"
href="https://colab.research.google.com/github/openpipe/art/blob/main/examples/2048/2048.ipynb"
href="https://colab.research.google.com/github/openpipe/art-notebooks/blob/main/examples/2048/2048.ipynb"
horizontal={true}
arrow={true}
>
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2 changes: 1 addition & 1 deletion docs/getting-started/about.mdx
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Expand Up @@ -109,7 +109,7 @@ The ART client can be installed into projects designed to run on any machine tha
<Card
title="Train an agent to play 2048"
icon="robot"
href="https://colab.research.google.com/github/openpipe/art/blob/main/examples/2048/2048.ipynb"
href="https://colab.research.google.com/github/openpipe/art-notebooks/blob/main/examples/2048/2048.ipynb"
horizontal={true}
arrow={true}
></Card>
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17 changes: 10 additions & 7 deletions docs/getting-started/notebooks.mdx
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Expand Up @@ -7,12 +7,15 @@ icon: "book"

<div className="full-width">

| Agent Task | Notebook | Description | Performance |
| ----------------- | -------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **ART•E [RULER]** | [🏋️&nbsp;Train&nbsp;agent](https://colab.research.google.com/github/openpipe/art/blob/main/examples/art-e.ipynb) | Qwen 2.5 7B learns to search emails using RULER | <a href="https://github.com/OpenPipe/ART/blob/main/examples/art-e/art_e/evaluate/display_benchmarks.ipynb"><img src="https://github.com/OpenPipe/ART/raw/main/assets/benchmarks/email_agent/accuracy-training-progress.svg" width="72" style={{margin: "0"}} /></a> |
| **2048** | [🏋️&nbsp;Train&nbsp;agent](https://colab.research.google.com/github/openpipe/art/blob/main/examples/2048/2048.ipynb) | Qwen 2.5 3B learns to play 2048 | <a href="https://github.com/OpenPipe/ART/blob/main/examples/2048/benchmark_2048.ipynb"><img src="https://github.com/OpenPipe/ART/raw/main/assets/benchmarks/2048/accuracy-training-progress.svg" width="72" style={{margin: "0"}} /></a> |
| **Temporal Clue** | [🏋️&nbsp;Train&nbsp;agent](https://colab.research.google.com/github/openpipe/art/blob/main/examples/temporal_clue/temporal-clue.ipynb) | Qwen 2.5 7B learns to solve Temporal Clue | [Link coming soon] |
| **Tic Tac Toe** | [🏋️&nbsp;Train&nbsp;agent](https://colab.research.google.com/github/openpipe/art/blob/main/examples/tic_tac_toe/tic-tac-toe.ipynb) | Qwen 2.5 3B learns to play Tic Tac Toe | <a href="https://github.com/OpenPipe/ART/blob/main/examples/tic_tac_toe/benchmark_tic_tac_toe.ipynb"><img src="https://github.com/OpenPipe/ART/raw/main/assets/benchmarks/tic-tac-toe-local/accuracy-training-progress.svg" width="72" style={{margin: "0"}} /></a> |
| **Codenames** | [🏋️&nbsp;Train&nbsp;agent](https://colab.research.google.com/github/openpipe/art/blob/main/examples/codenames/Codenames_RL.ipynb) | Qwen 2.5 3B learns to play Codenames | <a href="https://github.com/OpenPipe/ART/blob/main/examples/codenames/Codenames_RL.ipynb"><img src="https://github.com/OpenPipe/ART/raw/main/assets/benchmarks/codenames/win_rate_over_time.png" width="72" style={{margin: "0"}} /></a> |
| Agent Task | Notebook | Description | Performance |
| ------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------ | --------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **ART•E LangGraph** | [🏋️&nbsp;Train&nbsp;agent](https://colab.research.google.com/github/openpipe/art-notebooks/blob/main/examples/langgraph/art-e-langgraph.ipynb) | Qwen 2.5 7B learns to search emails using LangGraph | [Link coming soon] |
| **MCP•RL** | [🏋️&nbsp;Train&nbsp;agent](https://colab.research.google.com/github/openpipe/art-notebooks/blob/main/examples/mcp-rl/mcp-rl.ipynb) | Qwen 2.5 3B masters the NWS MCP server | [Link coming soon] |
| **ART•E [RULER]** | [🏋️&nbsp;Train&nbsp;agent](https://colab.research.google.com/github/openpipe/art-notebooks/blob/main/examples/art-e.ipynb) | Qwen 2.5 7B learns to search emails using RULER | <a href="https://github.com/OpenPipe/ART/blob/main/dev/art-e/art_e/evaluate/display_benchmarks.ipynb"><img src="https://github.com/OpenPipe/ART/raw/main/assets/benchmarks/email_agent/accuracy-training-progress.svg" width="72" style={{margin: "0"}} /></a> |
| **2048** | [🏋️&nbsp;Train&nbsp;agent](https://colab.research.google.com/github/openpipe/art-notebooks/blob/main/examples/2048/2048.ipynb) | Qwen 2.5 3B learns to play 2048 | <a href="https://github.com/OpenPipe/ART/blob/main/examples/2048/display_benchmarks.ipynb"><img src="https://github.com/OpenPipe/ART/raw/main/assets/benchmarks/2048/accuracy-training-progress.svg" width="72" style={{margin: "0"}} /></a> |
| **Temporal Clue** | [🏋️&nbsp;Train&nbsp;agent](https://colab.research.google.com/github/openpipe/art-notebooks/blob/main/examples/temporal_clue/temporal-clue.ipynb) | Qwen 2.5 7B learns to solve Temporal Clue | [Link coming soon] |
| **Tic Tac Toe** | [🏋️&nbsp;Train&nbsp;agent](https://colab.research.google.com/github/openpipe/art-notebooks/blob/main/examples/tic_tac_toe/tic-tac-toe.ipynb) | Qwen 2.5 3B learns to play Tic Tac Toe | <a href="https://github.com/OpenPipe/ART/blob/main/examples/tic_tac_toe/display-benchmarks.ipynb"><img src="https://github.com/OpenPipe/ART/raw/main/assets/benchmarks/tic-tac-toe-local/accuracy-training-progress.svg" width="72" style={{margin: "0"}} /></a> |
| **Codenames** | [🏋️&nbsp;Train&nbsp;agent](https://colab.research.google.com/github/openpipe/art-notebooks/blob/main/examples/codenames/Codenames_RL.ipynb) | Qwen 2.5 3B learns to play Codenames | <a href="https://github.com/OpenPipe/art-notebooks/blob/main/examples/codenames/Codenames_RL.ipynb"><img src="https://github.com/OpenPipe/ART/raw/main/assets/benchmarks/codenames/win_rate_over_time.png" width="72" style={{margin: "0"}} /></a> |
| **AutoRL [RULER]** | [🏋️&nbsp;Train&nbsp;agent](https://colab.research.google.com/github/openpipe/art-notebooks/blob/main/examples/auto_rl.ipynb) | Train Qwen 2.5 7B to master any task | [Link coming soon] |

</div>
4 changes: 2 additions & 2 deletions docs/getting-started/quick-start.mdx
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Expand Up @@ -24,13 +24,13 @@ If you'd like to enable observability while working through this guide, create a

- [Weights & Biases](https://wandb.ai/home)

Once you have your Weights & Biases API key, open the [notebook](https://colab.research.google.com/github/openpipe/art/blob/main/examples/2048/2048.ipynb) in Google Colab and set them in the **Environment Variables** cell.
Once you have your Weights & Biases API key, open the [notebook](https://colab.research.google.com/github/openpipe/art-notebooks/blob/main/examples/2048/2048.ipynb) in Google Colab and set them in the **Environment Variables** cell.

Once your API keys are set, or if you won't need observability while completing this walkthrough, continue on to the next step.

## Step 2: Prepare your notebook

If you haven't already, open the [notebook](https://colab.research.google.com/github/openpipe/art/blob/main/examples/2048/2048.ipynb) in Google Colab and connect to a T4 runtime environment.
If you haven't already, open the [notebook](https://colab.research.google.com/github/openpipe/art-notebooks/blob/main/examples/2048/2048.ipynb) in Google Colab and connect to a T4 runtime environment.

<Accordion title="Connecting to a T4 GPU">
In the top bar of your Google Colab notebook, find *Runtime* > *Change runtime
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