Abstract: In the face of a complex three-dimensional environment, the computational complexity of the traditional path planning algorithms is extremely increased. But the performance of path planning ...

Abstract: With the evolution of 6G technologies, spectrum scarcity has emerged as a critical challenge. Semantic communication, as a content and task-oriented paradigm, offers a promising solution to ...

This project implements a hybrid financial investment strategy that combines Reinforcement Learning (RL) for alpha generation with a Robust Optimization layer for risk control. It is designed to ...

The path planning capability of autonomous robots in complex environments is crucial for their widespread application in the real world. However, long-term decision-making and sparse reward signals ...

src/ ├── config.py # Configuration ├── train_rl.py # RL-based PPO optimization ├── reward.py # Reward functions ├── inference.py # Detection inference ├── cli.py # CLI interface ├── models/ │ ├── ...