Oct 30, 2023 · We propose a Graph-based PPO algorithm, this approach can solve the communication problem between agents and it can enhance the exploration efficiency of ...
Oct 22, 2024 · We apply our algorithms to the task of multi-UAV navigation for communication coverage to verify the functionality and performance of our ...
Return to Article Details A Graph-Based PPO Approach in Multi-UAV Navigation for Communication Coverage Download Download PDF. Thumbnails Document Outline
We introduce a scenario regarding Multi-UAV ground exploration, where the health status of UAVs gradually weakens over time before dropping into a fault status; ...
A graph-based ppo approach in multi-uav navigation for communication coverage ... (information systems)(includes related articles on election coverage and on ...
Mar 10, 2023 · This paper proposes a feature fusion algorithm for solving the path planning problem of multiple unmanned aerial vehicles (UAVs) using GPS and communication ...
We present a fault-tolerant Multi-Agent Reinforcement Learning Algorithm that can control an unstable Multiple Unmanned Aerial Vehicle (Multi-UAV) system to ...
Sep 17, 2024 · This study aims to address this challenge by utilizing on-policy Reinforcement Learning (RL) with Proximal Policy Optimization (PPO) to explore ...
Then we combine the PPO algorithm with the Long short-term memory (LSTM) structure to solve the basic navigation problem while only the historical interactive ...
Jan 31, 2022 · In this paper, we aim to design a deep reinforcement learning (DRL) based control solution to navigating a swarm of unmanned aerial vehicles ...
Missing: PPO | Show results with:PPO