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ステップベースAPI

  • A lightweight Python library for creating customizable 2D grid environments to train and test reinforcement learning agents.
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    What is Simple Playgrounds?
    Simple Playgrounds provides a modular platform for building interactive 2D grid environments where agents can navigate mazes, interact with objects, and complete tasks. Users define environment layouts, object behaviors, and reward functions via simple YAML or Python scripts. The integrated Pygame renderer delivers real-time visualization, while a step-based API ensures seamless integration with reinforcement learning libraries like Stable Baselines3. With support for multi-agent setups, collision detection, and customizable physics parameters, Simple Playgrounds streamlines the prototyping, benchmarking, and educational demonstration of AI algorithms.
    Simple Playgrounds Core Features
    • Customizable 2D grid-world environment layouts
    • Scenario scripting via Python or YAML
    • Flexible reward function configuration
    • Real-time Pygame-based rendering
    • Step-based API compatible with RL libraries
    • Multi-agent environment support
    • Collision detection and basic physics
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