Slitherlink

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Slitherlink

OpenReward Environment

Description

Slitherlink is an environment for evaluating agents on logic puzzle solving with loop-drawing constraints. This environment wraps the Slitherlink implementation from TextArena, a framework for text-based game environments.

Capabilities

  • Constraint-based logic puzzle solving
  • Understanding topological constraints (closed loops)
  • Spatial reasoning with edge relationships
  • Systematic constraint propagation

Compute Requirements

Slitherlink does not require a sandbox. It has minimal compute requirements.

License

MIT.

Tasks

The number of variants is dynamically determined from the TextArena registry (all variants with "Slitherlink" prefix). There are two splits: train and test. Each split contains 50 tasks per variant.

Each task is seeded for reproducibility.

Reward Structure

This is a sparse reward environment. The agent receives a reward of 1.0 upon successfully completing the puzzle and 0.0 otherwise.

We do not use LLM graders for this environment; reward is determined programmatically.

Data

Game state is generated procedurally by the TextArena engine using seeded randomness. No external data files are required.

Tools

Agents are given a single tool:

  • toggle_edge(orientation, row, column): Toggle an edge on the Slitherlink grid.

Time Horizon

Slitherlink is a multi-turn environment.

Environment Difficulty

This environment presents moderate to challenging difficulty, requiring agents to satisfy local constraints (numbers in cells) while maintaining global constraints (forming a single closed loop).

Other Environment Requirements

There are no further environment requirements; Slitherlink works out of the box without any secrets or API keys.

Safety

Agents in Slitherlink interact only with a logic puzzle and have no access to external systems, the internet, or sensitive data. The environment does not present safety risks.

Citations

@software{textarena2024,
  author    = {Guertler, Leon and Banting, Wilfried and Pignatelli, Eduardo},
  title     = {TextArena},
  year      = {2024},
  publisher = {GitHub},
  url       = {https://github.com/LeonGuertler/TextArena}
}
GeneralReasoning/Slitherlink | OpenReward