2- A-Based Proximal Policy Optimization (PPO): The PPO algorithm is a powerful deep reinforcement learning method used for optimizing the policy of the stock trading robot. PPO aims to strike a ...

Abstract: This paper explores the application of reinforcement learning in multiple unmanned aerial vehicle (multi-UAV) path planning. The traditional proximal policy optimization (PPO) algorithm ...

An implementation of the Proximal Policy Optimization (PPO) algorithm. This implementation is based on the example available on the official Keras website. The goal of this project is to provide a ...

The dominant control algorithm using in the non-holonomic constrained mobile robot usually depends on accurate modeling and complex calculations. This paper proposes a new deep reinforcement ...

The performance of the state-of-the-art Deep Reinforcement algorithms such as Proximal Policy Optimization, Twin Delayed Deep Deterministic Policy Gradient, and Soft Actor-Critic for generating a ...