0

WildTicTacToe

Fresh

WildTicTacToe is an environment for evaluating agents on tactical gameplay in Wild Tic-Tac-Toe, a variant where players can place either X or O on any empty position. This environment wraps the WildTicTacToe implementation.

Type
RL Env
Publisher
General Reasoning
Tags
Decision Making in Games
Runtime
TextArena
License
unknown
Size
100 tasks
Published
Mar 2026
Canonical
openreward.ai/GeneralReasoning/WildTicTacToe

Cite

Notes

Only stored in your browser.

Attribution

Attribution policy →

WildTicTacToe

OpenReward Environment

Description

WildTicTacToe is an environment for evaluating agents on tactical gameplay in Wild Tic-Tac-Toe, a variant where players can place either X or O on any empty position. This environment wraps the WildTicTacToe implementation from TextArena, a framework for text-based game environments.

Capabilities

  • Testing strategic flexibility in unconventional game mechanics
  • Evaluating decision-making when mark choice adds complexity to traditional Tic-Tac-Toe
  • Assessing agent ability to exploit and defend against non-standard gameplay patterns
  • Testing tactical planning with expanded move options

Compute Requirements

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

License

MIT.

Tasks

There are two splits: train (50 tasks) and test (50 tasks). Each split contains 50 tasks across each of 1 variants:

  • WildTicTacToe-v0

Each task is seeded for reproducibility.

Reward Structure

This is a sparse reward environment. Rewards are mapped from TextArena's native range of {-1, 0, 1} to {0.0, 0.5, 1.0} via (raw + 1) / 2.

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:

  • place_mark(position, mark): Place your mark (X or O) on the board at the given position (0-8). 0=top-left, 4=center, 8=bottom-right.

Time Horizon

WildTicTacToe is a multi-turn environment.

Environment Difficulty

Easy to Medium. While the wild variant adds strategic depth by allowing mark choice, the core Tic-Tac-Toe mechanics remain straightforward. Agents must learn when placing X vs O provides tactical advantage.

Other Environment Requirements

This environment requires an OpenAI API key (passed via secrets) to power the LLM opponent.

Safety

Agents in WildTicTacToe interact only with a board game 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}
}