open-source IEEE 802.11 WiFi baseband FPGA (chip) design: driver, software

RLGF is a general training framework suitable for UAV deep reinforcement learning tasks. And integrates multiple mainstream deep reinforcement learning algorithms(SAC, DQN, DDQN, PPO, Dueling DQN, …

Deep Q Network-based scheduling over two-hop wireless channels.

Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"

Efficient Focus Autoencoders for Fast Autonomous Flight in Intricate Wild Scenario

[TMC 2023] Delay-Sensitive Energy-Efficient UAV Crowdsensing by Deep Reinforcement Learning

Code for the paper "Planning with Diffusion for Flexible Behavior Synthesis"

Environment created for the paper: "Impact of User Privacy and Mobility on Edge Offloading"

Optimal position in 2D for UAV as a communication relay

Simulation of Digital Communication (physical layer) in Python.

UAV-based MEC to maximize user throughput via reinforcement learning