. ├── ppo.py # Core PPO implementation ├── demonstrations/ # Example implementations │ ├── cartpole_demo.py │ ├── lunar_lander_demo.py │ └── README.md ├── requirements.txt # Project dependencies └── ...

The percentages of losses in water supply systems are alarming. Hydraulic modeling and simulation are widely used resources for evaluating network behavior and identifying better operating conditions ...

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...

Abstract: Mobile edge computing enhances the performance of low-capability end devices by offloading tasks to nearby edge servers, enabling timely responses for delay-sensitive, computation-intensive ...

Abstract: In recent years, convolutional neural network (CNN) has achieved great success in the field of network security protection. With the popularization of smart terminals and the gradual ...

This repository contains the implementation of a novel multi-agent reinforcement learning approach for molecular optimization and drug discovery, combining genetic algorithms with deep reinforcement ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...