Stars
This project is a research project based on Deep Reinforcement Learning (DRL), aiming to solve the resource coordination problem in UAV-Aided IoT scenarios, with a special focus on balancing covert…
Coordinating many UAVs is hard under constraints like no‑fly zones, collisions, limited comms, and privacy of training data across operators.
An OpenaAIGym-based framework allowing to test hybrid approaches (RL + path planning) for multi-UAV systems that are supposed to provide smart services.
A multi-agent reinforcement learning framework for optimizing coverage and connectivity in Space-Air-Ground integrated networks. This project simulates and trains intelligent agents to coordinate s…
A couple of drones and deep reinforcement learning models for controlling them.
[ICCC 2025] UavNetSim-v1: A Python-based simulation platform for designing and testing communication protocols and control algorithms in UAV swarm.
[ToN 2024] Ensuring Threshold AoI for UAV-assisted Mobile Crowdsensing by Multi-Agent Deep Reinforcement Learning with Transformer
[JSAC 2018] Energy-Efficient UAV Control for Effective and Fair Communication Coverage: A Deep Reinforcement Learning Approach
An implementation of a distributed protocol for cooperative sensing and sending operations of Unmanned Aerial Vehicles (UAVs). It is built on top of TensorFlow Agents and uses reinforcement learnin…
Trajectory Optimization and Computing Offloading Strategy in UAV-Assisted MEC System
Deep Reinforcement Learning for Autonomous Drone Navigation
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
IEEE WCNC 2023: Deep Reinforcement Learning for Secrecy Energy-Efficient UAV Communication with Reconfigurable Intelligent Surfaces
Energy-Efficient Path Planning and Task Allocation for Multi-UAV Aided IoT Cluster-Based Data Collection
UAV trajectory design (DQN)
DQN 无人机 强化学习可视化
In this work, we propose a novel formulation titled Federated Deep Q Networks (F-DQN) to perform distributed learning for Deep RL algorithms.
Deep Reinforcement Learning: Zero to Hero!
PPO x Family DRL Tutorial Course（决策智能入门级公开课：8节课帮你盘清算法理论，理顺代码逻辑，玩转决策AI应用实践 ）
[TMC 2023] Delay-Sensitive Energy-Efficient UAV Crowdsensing by Deep Reinforcement Learning
An OpenAIGym-based framework allowing to test Delay-Aware Deep Reinforcement Learning algorithms for cooperative multi-UAV systems in fully customizable scenarios (e.g., coverage maximization, trac…
Uses WiFi signals 📶 and machine learning to predict where you are
An heterogeneous environment for Federated Learning emulation
Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.
Understanding of flight control systems, including dynamic models for UAVs, low level autopilot design, trajectory following, and path planning. The essential physics and sensors of UAV problems, i…