scienceworld-reset

To initialize a ScienceWorld simulation, use this Skill to set up a new environment episode by specifying a scenario, difficulty, and seed, which returns the starting observation and a unique session ID.

You need the 'scienceworld' Python package installed and access to its assets to set up a ScienceWorld environment scenario, as the Skill requires these dependencies to configure the interactive simulation.

Environment reset returns the initial observation of the configured scenario and a unique session ID, allowing you to track your interactive learning and experimentation progress.

Yes, you can configure the difficulty and seed when initializing a ScienceWorld simulation task, allowing you to control the complexity and reproducibility of the interactive scientific problem-solving environment.

You need to reset the ScienceWorld environment state when you want to begin a new interactive scientific task, such as a plant watering simulation, ensuring a clean starting observation and a new session ID.