cpp-reinforcement-learning
byaznatkoiny· 9 skills
C++ Reinforcement Learning best practices using libtorch (PyTorch C++ frontend) and modern C++17/20. Use when: - Implementing RL algorithms in C++ for performance-critical applications - Building production RL systems with libtorch - Creating replay buffers and experience storage - Optimizing RL training with GPU acceleration - Deploying RL models with ONNX Runtime
How to install cpp-reinforcement-learning?
aznatkoiny/zai-skills/cpp-reinforcement-learning
$npx -y skills add aznatkoiny/zai-skills --skill cpp-reinforcement-learningInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/aznatkoiny/zai-skills" --skill "aznatkoiny/zai-skills/cpp-reinforcement-learning"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/aznatkoiny/zai-skills" that are relevant to the current task. Run `npx skills add "https://github.com/aznatkoiny/zai-skills"` and select the relevant skills, then follow their instructions.
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