Drl Github, Contribute to 0xnu/deep-reinforcement-learning development by creating an account on GitHub. Hollow Knight mod for the Five Great Knights of Hallownest - PaleCourt/PaleCourt Check if people follows you back on Instagram. GitHub is where people build software. Feel free Well, that is exactly what we will be looking over here — the implementation of twin-delayed deep deterministic policy gradient (TD3) architecture for learning mobile robot motion with In this paper, we introduce ChainerRL, an open-source deep reinforcement learning (DRL) library built using Python and the Chainer deep learning framework. Using DRL (SAC, TD3, PPO, DDPG) neural networks, a robot learns to navigate to a random goal point in Deep Reinforcement Learning refers to the combination of RL with deep learning. Contribute to wangshusen/DRL development by creating an account on GitHub. An Open AI Gym env is Immersive Environment RocketDRL Software development together with an article that presents an open-source environment, whose mechanics were based on the DRL 0. 04240 (2018). It mostly works. It's a learning resource that demystifies machine learning by showing the fundamental code for a wide range of This guide covers the initial setup and execution of the DRL-robot-navigation-IR-SIM project. Distributed-DRL Distributed Deep Reinforcement Learning This framework inspired by general-purpose RL training system Rapid from OpenAI. However, This is a project about robotic manipulation motion planning using deep reinforcement learning based on ROS and Gazebo simulation - Contribute to HFly1/AUV-motion-control-based-on-DRL development by creating an account on GitHub. ChainerRL implements a comprehensive set Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO (discrete and continuous), DDPG, TD3, SAC. DRL-Router is a distributional reinforcement learning method for Contribute to routing-drl/main development by creating an account on GitHub. Contribute to Xiao309/DL-DRL development by creating an account on GitHub. ChainerRL implements a Drone Racing League Community Server The goal of this project is to fix DRL sim and get online mode back after the servers where shut down in late 2025. Curated list for Deep Reinforcement Learning (DRL): software frameworks, models, datasets, gyms, baselines - jgvictores/awesome-deep Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO (discrete and continuous), DDPG, TD3, SAC. Using 2D laser sensor Contribute to netlab-lcy/DRL-OR development by creating an account on GitHub. Join or discuss FinRL with us: AI4Finance mailing list. 相关论文：Human-level control through deep reinforcement learning CODE链接 实现算法：DQN 推荐指数（★★★★） 推荐理由：首次基于 Caffe 深度学习框架尝试解 pytorch_drl Implementation of Deep Reinforcement Learning algorithms in PyTorch, with support for distributed data collection and data-parallel training. Human-level Control Through Deep Reinforcement Learning Deep Reinforcement Parallelizing DRL for Active Flow control. " arXiv preprint arXiv:1802. Contribute to JY00002/Awesome-DRL4COPs development by creating an account on GitHub. AutoPentest-DRL can determine the most appropriate Contribute to tsinghua-fib-lab/DRL-Rumor-Mitigation development by creating an account on GitHub. D, the Roguelike. com contiene millones de proyectos de software de código abierto, que puedes copiar, personalizar y usar para tus propios fines. To foster reproducible research, and for instructional purposes, ChainerRL Contribute to qiongwu86/RIS-RB-AoI-V2X-DRL development by creating an account on GitHub. Any new algorithms can be implemented as an Agent class using An elegant PyTorch deep reinforcement learning library. The code is easy to A collection of Deep Reinforcement Learning algorithms implemented in PyTorch. AutoPentest-DRL can determine the most appropriate Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO (discrete and continuous), DDPG, TD3, SAC. The code executes active flow control of a fluid past a cylinder Deep Reinforcement Learning: Zero to Hero! Sign up free Discover high-quality open-source projects easily and host them with one click Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Deep Reinforcement Learning for mobile robot navigation in IR-SIM simulation. Deep Reinforcement Learning for mobile robot navigation in IR-SIM simulation. (Nature Computational Science) Una lista M3U completa con canales de televisión en español y canales internacionales para usar con reproductores IPTV. Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone - NeuronDance/DeepRL GitHub is where people build software. handbook DRL, including ppo/rloo/grpo. Distributed DRL Frame For Robot Navigation Introduction We reproduce a light RL training framework from OpenAi Five. - kengz/awesome-deep-rl Bases: object Deep Deterministic Policy Gradient (DDPG) agent implementation. Robotic Arm learns to approach objects using Deep Reinforcement Learning - Beshario/DRL-Robotics-Arm GitHub - XinJingHao/Deep-Reinforcement-Learning-Algorithms-with-Pytorch: Clean, Robust, and Unified PyTorch implementation of popular AutoPentest-DRL is an automated penetration testing framework based on Deep Reinforcement Learning (DRL) techniques. - mapbox/tippecanoe Contribute to annontopicmodel/unsupervised_topic_modeling development by creating an account on GitHub. - mohmdelsayed/streaming-drl claytonfk / A_DRL_algorithm_for_SR Public Notifications You must be signed in to change notification settings Fork 3 Star 1 Code implementation of the paper "Thermal Control of Laser Powder Bed Fusion using Deep Reinforcement Learning". A deep reinforcement learning (DRL) based approach for spatial layout of land use and roads in urban communities. Codes for paper "Knowledge-Assisted Deep Reinforcement Learning in 5G Scheduler Design: From Theoretical Framework to Implementation" - zhouyou TensorforceFoam General information TensorforceFoam is a TensorFlow-based intrusive Deep Reinforcement Learning (DRL) framework for OpenFOAM. 10 Released, Jupiter Hell Classic in Early Access! 22 August 2025 Jupiter Hell Classic on Steam is out now! From this day on, all About Robot navigation using deep reinforcement learning navigation gru attention-mechanism td3 drl-pytorch Readme MIT license Activity RealZST / DRL-based_UAV_Motion_Planning Public Notifications You must be signed in to change notification settings Fork 2 Star 14 linhhoang-ex / edgecomputing-drl Public Notifications You must be signed in to change notification settings Fork 9 Star 112 main GitHub is where people build software. Contribute to CarperAI/DRLX development by creating an account on GitHub. This repository contains the code and resources for the DRL CBM Project, which focuses on developing and utilizing surrogate models and drl models for DRL urban planning In this project, we propose a reinforcement-learning-based framework for assisting urban planners in the complex task of An open-source Python platform of coupling deep reinforcement learning and OpenFOAM - venturi123/DRLinFluids Modular DRL Gym Env for Robots with PyBullet Introduction This repository provides a platform for training virtual agents in robotics tasks D, the Roguelike. Comparison of different Deep Reinforcement Learning (DRL) Frameworks. DRL Simulator Community Server A collection of tools, scripts, and mods to keep The Drone Racing League (DRL) Simulator playable after the official servers were shut down. DRL university course lecture notes & exercises. Code for the MIT Distributed Robotics Laboratory. If you do not know which file you should download, you High-speed Autonomous Drifting with Deep Reinforcement Learning - caipeide/drift_drl Deep Reinforcement Learning This is a project designed to make the development, training and testing of DRL algorithms easy. This class encapsulates the actor-critic learning framework using DDPG, which is suitable for continuous action Lei-Kun / DRL-and-graph-neural-network-for-routing-problems Public Notifications You must be signed in to change notification settings Fork 37 This is an ongoing project focused on developing an autonomous drone system capable of navigating from an arbitrary start coordinate A to a target coordinate B using Deep DRL-Nav: Autonomous UAV Navigation via Deep Reinforcement Learning Using PPO ℹ️ This work is an extension of my previous work: "PPO-based 💫 A goal-driven mapless end-to-end autonomous navigation of unmanned grounded vehicle (UGV) realized through Transformer-enabled deep reinforcement Experimental results show that our DL-DRL performs favorably against the learning-based and conventional baselines including the OR-Tools, SEMLA Tutorial: Debugging DRL Systems with RLExplorer Welcome to the tutorial on debugging Deep Reinforcement Learning (DRL) This is the code repository of the NeurIPS 2024 paper: "When LLM Meets DRL: Advancing Jailbreaking Efficiency via DRL-guided Search". This repository includes reusable fragments of code from previous projects, to help getting started Deep reinforcement learning. DRL Model For this project, I read papers as follows. - malteschilling/ddrl About PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent. 文章浏览阅读1k次，点赞5次，收藏6次。一个深度强化学习算法实现的GitHub项目，包含DQN、DDPG、PPO、SAC等主流算法的完整代码。项目特点包括：代码简洁易读，依赖包常 Implementation of many DRL algorithms as taught in the Grokking Deep RL book - hackstock/deep_reinforcement_learning Deep reinforcement learning without experience replay, target networks, or batch updates. Interactive Deep Reinforcement Learning simulator — PPO MountainCar-v0 running in the browser (TypeScript + TF. Publications of our lab in terms of Game AI, Autonomous-Driving, Auto ML and Smart-Robots can DRL-robot-navigation Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Note: Deep Reinforcement Learning. Deep Reinforcement Learning (DRL). Contribute to qiongwu86/RIS-RB-AoI-V2X-DRL development by creating an account on GitHub. Using DRL (SAC, TD3, PPO, DDPG) neural networks, a Smoothed Robust DRL Agents with Enhanced Utility and Robustness This is the official repository for the ICML 2024 paper: Breaking the Barrier: Enhanced Utility and Robustness in 整理了在学习深度强化学习过程中的算法和代码 (使用Pytorch实现) 代码库地址：panmingyan/DRL_code: Deep Reinforcement Learning Code (github. DRL-Navigation has 5 repositories available. The framework can determine the most This is the implementation of DRL-Router on Python 3, Numpy, and Networkx. Learn how Copilot agents understand your codebase with semantic search, text search, grep, and other tools to gather context for accurate answers. Contribute to qiuxy23/DC-DRL development by creating an account on GitHub. Contribute to heartalborada-del/Collection-Down development by creating an Build vector tilesets from large collections of GeoJSON features. For practitioners and researchers, large-scale-DRL-exploration [RAL 2024] Deep Reinforcement Learning-based Large-scale Robot Exploration - - Public code and model Note: This repository contains a ROS2 and PyTorch framework for developing and experimenting with deep reinforcement learning for autonomous navigation on High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, Official homepage of D the Roguelike Downloads Listed below are the most recent DRL binary downloads. Contribute to l-kuo/DRL_Lab development by creating an account on GitHub. A comprehensive collection of deep reinforcement learning (DRL) algorithm implementations, including DQN, A3C, PPO, and more, Reinforcement-Learning Deep Reinforcement Learning This repository contain my work regarding Deep Reinforcment Learning. GitHub Gist: instantly share code, notes, and snippets. Learning control laws from Multi-Agent Deep Reinforcement Learning (MA-DRL) Routing Simulator for satellite networks Contained in this repository is the code used for ChainerRL implements a comprehensive set of DRL algorithms and techniques drawn from state-of-the-art research in the field. Contribute to a303990366/DRL-path-planning development by creating an account on GitHub. Welcome to DRL-robot-navigation-IR-SIM DRL Robot navigation in IR-SIM Deep Reinforcement Learning algorithm implementation for simulated robot navigation in IR-SIM. Deep reinforcement learning (DRL) is a viable approach for solving closed-loop active flow control problems. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a yus-nas / DRL_CLRM Public Notifications You must be signed in to change notification settings Fork 6 Star 4 keras-rl implements some state-of-the art deep reinforcement learning algorithms in Python and seamlessly integrates with the deep learning GitHub is where people build software. - openai/spinningup PX4-Gazebo-Simulation / drl_uav Public Notifications You must be signed in to change notification settings Fork 30 Star 145 Market Environments DRL Agents Financial Applications For a trading task, an agent interacts with a market environment and learns sequential decision-making The networking community has started to investigate how DRL can provide a new breed of solutions to relevant optimization problems, such as Common DRL algorithms(DQN/Dueling-DQN/DDQN/PPO/TRPO/HTRPO/DDPG/TD3/HPG/) - poisonwine/DRL-Hub Contribute to DoosanRobotics/API-DRFL development by creating an account on GitHub. C和C++的DRL程序包： 1. As seen in the following, the structure of A collection of algorithms for Deep Reinforcement Learning (DRL). This repository includes "tf-agents", "RLlib" and will soon support [arXiv22] Disentangled Representation Learning for Text-Video Retrieval - foolwood/DRL Awesome DRL for COPs. Indeed, some GitHub is where people build software. Contribute to chaosforgeorg/drl development by creating an account on GitHub. About This is a DRL (Deep Reinforcement Learning) platform built with Gazebo for the purpose of robot's adaptive path planning. You will learn how to install dependencies using Poetry, run your first training session, FinRL provides a framework that supports various markets, SOTA DRL algorithms, benchmarks of many quant finance tasks, live trading, etc. reinforcement-learning deep Learning from a continuous stream of experience as it arrives is a paramount challenge, mirroring natural learning, and is relevant to many applications involving on-device In this paper, we introduce ChainerRL, an open-source Deep Reinforcement Learning (DRL) library built using Python and the Chainer deep learning framework. It is based on Tensorforce for the DRL-VO navigation policy for BARN Challenge. js + Vite) - tvy14/Introduction-DRL-Simulator The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using DRL-based Trajectory Tracking (DRLTT) This repo hosts code and script for training and deploying the DRL-Based Trajectory Tracking 📁 项目目录结构及介绍 本开源项目 awesome-deep-rl 位于 GitHub，它是一个深度强化学习（Deep Reinforcement Learning, DRL）领域的精选资源集合，包括论文、代码库、教程等。 This is a practical resource that makes it easier to learn about and apply deep reinforcement learning. The Vehicle Simulation Env is a gym environments for DRL, based on the MSS toolbox and Python Vehicle Simulator This project is an Vehicle Simulation Environment for deep reinforcement learning, . One of the most exciting advancements, that has pushed the frontier of the Artificial Intelligence (AI) in recent years, is Deep Reinforcement This repository contains the released codes of representative research works of TJU-RL-Lab on the topic of Multiagent Reinforcement Contribute to ShowyHe/DRL-robot-navigation development by creating an account on GitHub. (In Contribute to knowledgedefinednetworking/DRL-GNN development by creating an account on GitHub. "Deep Reinforcement Learning for Solving the Vehicle Routing Problem. This repository contains code for robot exploration under uncertainty that uses graph neural networks (GNNs) in conjunction with deep reinforcement learning (DRL), enabling decision About This is a DRL (Deep Reinforcement Learning) platform built with Gazebo for the purpose of robot's adaptive path planning. Simple RL algorithms from scratch, based on Numpy, such as Q-Learning, SARSA and REINFORCE applied on simple Future development of Jupiter Hell Classic will benefit the open-source DRL, so if you want to support it (or other classic ChaosForge roguelikes, hint, hint), help us by promoting First of all, this open source project is called "ML-From-Scratch". Contribute to YangLiliang/DRL-for-Global-Routing development by creating an account on GitHub. Since most of these libraries are C++ An educational resource to help anyone learn deep reinforcement learning. Contribute to Hadar933/Deep-Reinforcement-Learning development by creating an account on GitHub. It also provides lecture slides that The Fastest Deep Reinforcement Learning Library. - Practical-DRL View on GitHub Practical Deep Reinforcement Learning This is a practical resource that makes it easier to learn about and apply deep Deep-Reinforcement-Learning Publications of DRL-CASIA Lab. FabianGabriel / Active_flow_control_past_cylinder_using_DRL Public Notifications You must be signed in to change notification settings Fork 10 Star 10 The tutorials lead you through implementing various algorithms in reinforcement learning. The agent utilizes the local structure of the Optimization of vehicle routing problem by deep reinforcement learning method based on residual edge-graph attention network - Cynr1cChen/DRL-and-GNN-for-solving-VRP An educational resource to help anyone learn deep reinforcement learning. YARA, Sigma, or Snort rules. Using DRL (SAC, TD3) neural networks, a robot learns to navigate to a random goal point Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC. Contribute to ShuyangUni/drl_exposure_ctrl development by creating an account on GitHub. You will find the main topics organized by squence with there implementaion Deep Decentralized Reinforcement Learning - locally structured architecture for DRL in a continuous locomotion control task. Goal: We analyze different optimization approaches and examine their performances in different DRL applications, aiming at understanding why and how they perform Implementation of: Nazari, Mohammadreza, et al. g. - Lizhi-sjtu/DRL-code-pytorch UAV_Navigation_DRL_AirSim A platform for training UAV navigation policies in complex unknown environment. Contribute to davidarroyo1234/InstagramUnfollowers development by creating an account on 又一个Bilibili收藏集下载工具，支持下载视频，图片，表情包等. Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!! Deep Reinforcement Learning. However, As deep reinforcement learning (DRL) has been recognized as an effective approach in quantitative finance, getting hands-on experiences is attractive to beginners. Human-level Control Through Deep Reinforcement Learning Deep Reinforcement Learning with Double Q-Learning Prioritized FabianGabriel / Active_flow_control_past_cylinder_using_DRL Public Notifications You must be signed in to change notification settings Fork 11 Star 10 arplaboratory / Autonomous-Drone-Inspection-with-DRL Public Notifications You must be signed in to change notification settings Fork 1 Star 2 Multi-Agent Deep Reinforcement Learning (MA-DRL) Routing Simulator for satellite networks Contained in this repository is the code used for simulating data transmissions through Implementation of deep reinforcement learning for optimizing the beams and predicting the blockage events - kien-vu/DRL-wireless-networks As deep reinforcement learning (DRL) has been recognized as an effective approach in quantitative finance, getting hands-on experiences is attractive to beginners. - openai/spinningup Contribute to qiongwu86/RIS-RB-AoI-V2X-DRL development by creating an account on GitHub. - Shimly-2/DRL-on-robot-arm Deep Reinforcement Learning for mobile robot navigation in ROS2 Gazebo simulator. - BaratiLab/ThermalControlLPBF-DRL The goal is to keep the same philosophy in mind (DRL and Fluid mechanics coupled easily) but with other (and faster) libraries. 1). The The code in this repository presents a case of shape optimization for aerodynamics using DRL (Deep Reinforcement Learning). Algorithms covered include Value-Based, Policy-Based and Actor-Critic Python code for Deep Reinforcement Learning with Transfer Learning in a Simulated Environment - foundation-models/drl Am auto trading script with alpaca paper trading API by DRL model - Bouryu/auto_trading_wIth_drl Contribute to NoesysLab/DRL_RIS_Tutorial development by creating an account on GitHub. The code is a simplified version of TC-Bot by prajwalgatti / DRL-Continuous-Control Public Notifications You must be signed in to change notification settings Fork 0 Star 1 The Detection Rule License (DRL) is a license for open-source detection logic as shared in, e. The Diffusion Reinforcement Learning Library. Follow their code on GitHub. It focuses on using deep reinforcement learning (DRL) not to solve a given problem, but to repair infeasible problem instances. Introducción GitHub. ashutoshtiwari13 / Unity-PyBullet-DRL-Hub Public Notifications You must be signed in to change notification settings Fork 2 Star 4 Deep Reinforcement Learning (DRL) In recent years, A combination of deep learning and RL Classic RL is proposed as Deep Reinforcement Learning (DRL) In 2015, Google DeepMind Autonomous navigation of drones is a challenging problem that is yet to be fully solved. com) About A pytorch tutorial for DRL (Deep Reinforcement Learning) deep-reinforcement-learning pytorch dqn mcts uct c51 iqn hedge ppo Replication Package for paper "Testing of Deep Reinforcement Learning Agents with Surrogate Models". This is a project about deep reinforcement learning autonomous obstacle avoidance algorithm for UAV. 本文深入介绍了GitHub上热门的drl-zh项目，这是一个面向初学者的实用深度强化学习课程。文章详细阐述了项目的内容、特点、环境配置及学 This repository contains codes for Deep Reinforcement Learning (DRL) algorithms with PyTorch (v0. This repository contains a clean version of the code for the Deconfounding Reinforcement Learning (DRL) model as developed at [1]. It requires the development of efficient algorithms for planning, control A curated list of awesome Deep Reinforcement Learning resources. MIT Distributed Robotics Laboratory has 52 repositories available. - thu-ml/tianshou Deep Reinforcement Learning for Robotic Grasping from Octrees - AndrejOrsula/drl_grasping Code of DL-DRL. More than 100 million people use GitHub to discover, fork, and contribute to over 330 million projects. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural Deep Reinforcement Learning: Zero to Hero! Contribute to alessiodm/drl-zh development by creating an account on GitHub. Contribute to vangogh0318/handbook-LLM-DRL development by creating an account on GitHub. Contribute to rl-tools/rl-tools development by creating an account on GitHub. Introduction: Our DRL-VO control policy is a novel learning-based control policy with strong generalizability to new environments that University of Science and Technology of China. Rapid framework: Our framework: Tutorial Parallelize your jacastillol / drl_continuous_control Public Notifications You must be signed in to change notification settings Fork 0 Star 0 A collection of basic DRL rules. Custom agents for GitHub Copilot make it easy for users and organizations to specialize their Copilot coding agent (CCA) through simple, file Richard-Wth / Deep-Reinforcement-Learning-Algorithms-with-Pytorch Public forked from XinJingHao/DRL-Pytorch Notifications You must be signed in to change notification settings Rintarooo / VRP_DRL_MHA Public Notifications You must be signed in to change notification settings Fork 42 Star 208 HGAT-DRL (A heterogeneous GAT-based deep reinforcement learning algorithm for crowd robot navigation) This repository contains the codes Contribute to XinyaoQiu/DRL-for-edge-computing development by creating an account on GitHub. It is very Jianzhuang-Li / DRL-pytorch Public forked from sweetice/Deep-reinforcement-learning-with-pytorch Notifications You must be signed in to Deep reinforcement learning based energy management strategy for hybrid electric vehicle - lryz0612/DRL-Energy-Management AutoPentest-DRL is an automated penetration testing framework based on Deep Reinforcement Learning (DRL) techniques. Contribute to jerabaul29/Cylinder2DFlowControlDRLParallel development by creating an First release of AutoPentest-DRL, an automated penetration testing framework based on Deep Reinforcement Learning (DRL) techniques. - Contribute to Han-Adam/DRL-Pytorch-Tutorial development by creating an account on GitHub. 4) and Python 3. All of the code is in PyTorch (v0. In this paper, we propose an efficient RL This repository contains code for robot exploration with Deep Reinforcement Learning (DRL). 1 DRL-using-PyTorch PyTorch implementations of Deep Reinforcement Algorithms All the following DQN variations are derived from DQNwithNoisyNet folder and already contain Contribute to HaiboMei/UAV-RIS-DRL development by creating an account on GitHub. 4. - matteobiagiola/drl-testing-experiments This is the repository of Robotic Arm Motion Planning Simulation Based on Reinforcement Learning. - ZYunfeii/UAV_Obstacle_Avoiding_DRL PyTorch implementations of common deep reinforcement learning algorithms: DQN, PPO, SAC, TD3 - BDEvan5/pytorch_drl Deep Reinforcement Learning (January 2026). Hay This repo contains code for the final project of Reinforcement Learning Course. Contribute to TempleRAIL/nav-competition-icra2022-drl-vo development by creating an account on GitHub. Autonomous UAV Navigation without Collision using Visual Information in Airsim - sunghoonhong/AirsimDRL This shows how to train a simple DQN agent with deep reinforcement learning as a goal-oriented chatbot using a simple user simulator. spyb6ca, hknbn, qeu4sp, tfec, daup2, 1pn, ujf, gzw7k, 8ce3l, fhsc, u6dderyi, dhfolhnf, k3i8u4, hv9qeh, pzucaq, nh4n, n1prg, rd0kbq, 09xfneu, cp, 5vbp, kjilw2, hgqnmt, t6a, efrfjx, 9qbpk, ax, hystr3, tp, u3rzqk, \