Practical workflows using Unity-MCP's 52 tools, 48 prompts, and 1 resource. All examples show what you can ask your AI client to do once Unity-MCP is connected. "Create a new scene called 'Level01', ...
Abstract: In recent years, research on land cover classification (LCC) utilizing optical (OPT) and synthetic aperture radar (SAR) images under full- and missing-modalities scenarios has garnered ...
This repository implements four multi-agent reinforcement learning algorithms for Unity environments. The framework has been validated on two environments and can be extended to support additional ...
Abstract: The complexity of cancer frequently results in diverse therapeutic responses among patients with the same cancer type undergoing identical treatments. Additionally, the development of ...
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