Abstract: With the development of sixth-generation (6G) wire-less communication networks, the security challenges are becoming increasingly prominent, especially for mobile users (MUs). As a promising ...

This project is a reinforcement learning agent that uses the proximal policy optimization (PPO) algorithm to learn how to play the game 2048. The agent is implemented in Python using the PyTorch ...

This repository contains the reference implementation of the Value-Adaptive Multi-Agent Proximal Policy Optimization framework, designed for collaborative Edge AI inference and GenAI-as-a-Service ...

Whenever you launch a game for the first time and head to the graphics settings menu, you may have noticed how it has already made most of the decisions for you. Things like texture quality, shadows, ...

Imitation learning-based visuomotor policies excel at manipulation tasks but often produce suboptimal action trajectories compared to model-based methods. Directly mapping camera data to actions via ...