-
Meta
- San Francisco, USA
-
17:20
(UTC -08:00) - https://AlirezaShamsoshoara.github.io
- in/alireza-shamsoshoara
Pinned Loading
-
Fire-Detection-UAV-Aerial-Image-Classification-Segmentation-UnmannedAerialVehicle
Fire-Detection-UAV-Aerial-Image-Classification-Segmentation-UnmannedAerialVehicle PublicAerial Imagery dataset for fire detection: classification and segmentation (Unmanned Aerial Vehicle (UAV))
-
Multi-Independent-Agent-Reinforcement-Learning-UAV-Autonomous-Spectrum-QLearning
Multi-Independent-Agent-Reinforcement-Learning-UAV-Autonomous-Spectrum-QLearning PublicAn Autonomous Spectrum Management Scheme for Unmanned Aerial Vehicle Networks in Disaster Relief Operations using Multi Independent Agent Reinforcement Learning
-
Reinforcement_Learning_Team_Q_learnig_MARL_Multi_Agent_UAV_Spectrum_task
Reinforcement_Learning_Team_Q_learnig_MARL_Multi_Agent_UAV_Spectrum_task PublicA solution for Dynamic Spectrum Management in Mission-Critical UAV Networks using Team Q learning as a Multi-Agent Reinforcement Learning Approach
-
Imitation-Learning-Behavioral-Cloning-UAV-Assisted-Communication
Imitation-Learning-Behavioral-Cloning-UAV-Assisted-Communication PublicAn Autonomous UAV Assisted Communication in Remote Disaster Area using Imitation Learning (Behavioral Cloning)
-
-
RL-from-zero
RL-from-zero PublicComprehensive collection of reinforcement learning algorithms implemented from scratch in PyTorch. Features tabular methods, value-based , policy gradient, actor-critic, offline RL, and multi-agentβ¦
Python 1
If the problem persists, check the GitHub status page or contact support.

