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1 change: 1 addition & 0 deletions examples/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -4,6 +4,7 @@ These examples provide concrete examples to leverage slime in your own RL workfl

## Directory Structure

- **[coding_agent_rl](./coding_agent_rl)**: End-to-end SWE coding-agent RL — a real coding agent (claude-code / codex) edits code in a per-sample sandbox, and the resulting `git diff` is graded against the dataset's test harness.
- **[eval_multi_task](./eval_multi_task)**: Example for supporting evaluation multiple tasks with different configs.
- **[fully_async](./fully_async)**: Demonstrates fully asynchronous rollout generation for higher efficiency.
- **[geo3k_vlm](./geo3k_vlm)**: Training VLMs on a single-turn reasoning task using GRPO on the GEO3K dataset.
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2 changes: 1 addition & 1 deletion examples/fully_async/README.md
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Expand Up @@ -57,7 +57,7 @@ work unchanged under fully-async:
--custom-rm-path your.module.reward # (args, sample | list[Sample]) -> float | list[float]
```

See `examples/swe_codex/` for a non-trivial example that plugs in a
See `examples/coding_agent_rl/` for a non-trivial example that plugs in a
multi-turn agent (Claude Code in a Docker-Proxy sandbox) this way.

## Worker Internals (Very Short)
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