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Ferramentas de avaliação de desempenho

  • AutoDRIVE Cooperative MARL

    An open-source framework implementing cooperative multi-agent reinforcement learning for autonomous driving coordination in simulation.
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    What is AutoDRIVE Cooperative MARL?
    AutoDRIVE Cooperative MARL is a GitHub-hosted framework combining the AutoDRIVE urban driving simulator with adaptable multi-agent reinforcement learning algorithms. It includes training scripts, environment wrappers, evaluation metrics, and visualization tools to develop and benchmark cooperative driving policies. Users can configure agent observation spaces, reward functions, and training hyperparameters. The repository supports modular extensions, enabling custom task definitions, curriculum learning, and performance tracking for autonomous vehicle coordination research.
    AutoDRIVE Cooperative MARL Core Features
    • Implementations of MADDPG, PPO and other multi-agent RL algorithms
    • AutoDRIVE simulator integration with urban driving scenarios
    • Customizable environment wrappers and reward functions
    • Training and evaluation scripts with logging support
    • Visualization and performance plotting utilities
    • Support for curriculum learning and policy checkpointing

  • Kode AI

    Self-service No-code/Low-code AI workflow solution for business efficiency.
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    What is Kode AI?
    Kode AI is an advanced, self-service No-code/Low-code AI workflow solution designed to automate and optimize business operations. It allows businesses to build and deploy AI-driven workflows without needing extensive coding skills. The platform provides robust tools for data preparation, automation, and integration, making it easier for businesses to enhance productivity and streamline complex tasks. Whether it's for onboarding in HR, performance evaluation, or marketing campaigns, Kode AI offers tailored solutions to meet various business needs.
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