JackFodtik

JackFodtik's Stars

• DuangZhu/MAexp

  MAexp is a generic platform for RL-based multi-agent exploration

  Language:Python582

• PX4-Gazebo-Simulation/drl_uav

  Deep reinforcement learning for UAV in Gazebo simulation environment

  Language:Python10729

• ZYunfeii/UAV_Obstacle_Avoiding_DRL

  This is a project about deep reinforcement learning autonomous obstacle avoidance algorithm for UAV.

  Language:Python34964

• proroklab/ros2_multi_agent_passage

  Language:Python3512

• RMI-NITT/Pepper_DRL_MAExploration

  Decentralized Multi-Agent Exploration on ROS with Distributed Deep Reinforcement Learning using A3C Algorithm

  Language:C++248

• RobustFieldAutonomyLab/Multi_Robot_Distributional_RL_Navigation

  [ICRA 2024] Decentralized Multi-Robot Navigation for Autonomous Surface Vehicles with Distributional Reinforcement Learning

  Language:Python404

• fangxiaoshen/ROS_pytorch_RL

  在turtlebot3，pytorch上使用DQN,DDPG,PPO,SAC算法，在gazebo上实现仿真。Use DQN, DDPG, PPO, SAC algorithm on turtlebot3, pytorch on turtlebot3, pytorch, and realize simulation on gazebo. Use DQN, DDPG, PPO, SAC algorithm to realize simulation on gazebo.

  Language:Python8210

• h2jaafar/mr.cap

  The code for MR.CAP, or Multi-robot Joint Control and Planning for Object Transport, an approach for multi robot joint planning and control using factor graphs. We release the code as open-source.

  Language:C++5

• UnrealTracking/ToM2C

  The offcial implementation of "ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind" (ICLR 2022) .

  Language:Python5310

• aidudezzz/deepbots

  A wrapper framework for Reinforcement Learning in the Webots robot simulator using Python 3.

  Language:Python23150

• gelardrc/RRT_DQN_PATH_PLANNING

  Apresentation of a new path planning algorithm fusing RRT and DQN estrategies.

  Language:Jupyter Notebook232

• RobustFieldAutonomyLab/DRL_graph_exploration

  Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs

  Language:C++11719

• marmotlab/STAMP

  Spatio-Temporal Attention Network for Persistent Monitoring of Multiple Mobile Targets - IROS23 public code and model

  Language:Python63

• dmar-bonn/ipp-rl

  Adaptive Informative Path Planning Using Deep Reinforcement Learning for UAV-based Active Sensing

  Language:Python759

• JackFodtik/optimal_quad_control_SL

  End-to-end optimal quadcopter control through Supervised Learning

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• JackFodtik/OnDemCPP

  1

• heleidsn/UAV_Navigation_DRL_AirSim

  This is a new repo used for training UAV navigation (local path planning) policy using DRL methods.

  Language:Python18628

• AcutronicRobotics/gym-gazebo2

  gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo

  Language:Python416106

• OscarHuangWind/DRL-Transformer-SimtoReal-Navigation

  [T-ITS] Sim-to-real goal-oriented mapless autonomous navigation (DRL navigation).

  Language:Python748

• reiniscimurs/DRL-robot-navigation

  Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.

  Language:Python546119

• Zhehui-Huang/quad-swarm-rl

  Additional environments compatible with OpenAI gym

  Language:Python10641

• JackFodtik/quad-swarm-rl

  Additional environments compatible with OpenAI gym

  1

• JackFodtik/DRL-robot-navigation

  Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.

  1

• chch9907/turtlebot3-DDPG-LSTM-PER

  multi-turtlebot3 collision avoidance and navigation via DDPG-LSTM with Prioritized Experience Replay on ROS

  Language:Python638

• JackFodtik/Fire-Extinguishers-Drones

  Implement Contract Net Protocol for a multi agent cooperation system to manage a group of UAVs to automatically extinguish fires in a forest

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• Monnalo/UAV_navigation

  Language:Python82

• Zhefan-Xu/CERLAB-UAV-Autonomy

  [CMU] A Versatile and Modular Framework Designed for Autonomous Unmanned Aerial Vehicles [UAVs] (C++/ROS/PX4)

  Language:C++24637

• ZJU-FAST-Lab/ego-planner

  Language:C++1.4k277

• formulahendry/955.WLB

  955 不加班的公司名单 - 工作 955，work–life balance (工作与生活的平衡)

  34.6k1.7k

• JackFodtik/leeml-notes

  李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

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