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