onepiece071008

onepiece071008's Stars

• cosimobromo/RL_UAVs_fleets

  Language:Makefile44

• burkap/swarm

  formation control of a swarm of UAVs in simulation

  Language:Python363

• SECNetLabUNM/HTransRL

  Hybrid Transformer based Multi-agent Reinforcement Learning (HTransRL) is for drone coordination in air corridors, addressing the challenges of dynamic dimensions and types of state inputs, which cannot addressed by the traditional MARL.

  Language:Python31

• NickGeramanis/rl-uav

  Undergraduate Thesis.

  Language:Python9

• tjuDavidWang/MARL-UAVs-Targets-Tracking

  Attempt to reproduce and improve the implementation of the paper 'Improving Multi-Target Cooperative Tracking Guidance for UAV Swarms Using Multi-Agent Reinforcement Learning'.

  Language:Python222

• francofusco/uav_gazebo

  UAV simulation in Gazebo and ROS

  Language:C++53

• hoangvietdo/vision_based_autonomous_landing

  iNCSL Project - Vision Based Autonomous Landing for UAVs - 2019

  Language:Python5

• Dmmm1997/DenseUAV

  Vision-Based UAV Self-Positioning in Low-Altitude Urban Environments（Accepted by IEEE TIP）

  Language:Python676

• Kenil16/master_project

  This project is about vision based navigation and precision landing of a drone using ROS, PX4 and OpenCV

  Language:C++449

• Strroke21/Vision-based-helipad-landing-for-UAV

  Language:Python21

• grbagwe/RAMRL

  RAMRL: Towards Robust On-Ramp Merging via Augmented Multimodal Reinforcement Learning

  Language:Python7

• vimalabs/VIMA

  Official Algorithm Implementation of ICML'23 Paper "VIMA: General Robot Manipulation with Multimodal Prompts"

  Language:Python74885

• opendilab/awesome-multi-modal-reinforcement-learning

  A curated list of Multi-Modal Reinforcement Learning resources (continually updated)

  36910

• Fubos/UAV-3D-path-optimization-SNARM-D3QN

  基于深度强化学习技术（DRL），提出了结合D3QN算法和多步学习的无人机3D路径优化算法。为进一步优化算法，提出一种三维同步导航和无线电测绘（SNARM）新框架。

  Language:Python333

• luzhixing12345/DQN-uav

  DQN 无人机 强化学习可视化

  Language:Python10

• AI4Finance-Foundation/TransportRL

  High-performance RL library for transportation problems, e.g., autonomous driving, traffic light control, UAV control, and path planning.

  Language:Python233

• NetworkCommunication/LMO-DDPG_WZJ

  An optimized DDPG algorithm for autonomous path planning of UAV in network-unavailable environment

  Language:Python265

• heleidsn/UAV_Navigation_DRL_AirSim

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

  Language:Python18628

• DreamMaker-Ai/09_Battlefield-MARL-Transformer

  Language:Python5

• monemati/multiuav-gazebo-simulation

  Tutorial for Multi-UAV (Quadcopters) simulation in Gazebo and Ardupilot.

  Language:Shell493

• PKU-MARL/Multi-Agent-Transformer

  Language:Python31959

• cyuquan8/smart_drones

  Multi-Agent Reinforcement Learning for Drones

  Language:Python61

• Lizhi-sjtu/MARL-code-pytorch

  Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.

  Language:Python40751

• DreamMaker-Ai/MARL_Transformer_Actor_Critic

  Language:Python61

• TJU-DRL-LAB/Multiagent-RL

  The official code releasement of publications in MARL field of TJU RL lab.

  Language:Python496

• georgeliu233/Scene-Rep-Transformer

  [T-IV] Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous Driving

  Language:Python5311

• AhmedNAlagha/MDRL-with-Demonstration-Cloning-for-Target-Localization

  Language:Python1

• rlworkgroup/metaworlds

  Environments for benchmarking meta-learning and multi-task learning (EXPERIMENTAL)

  Language:Python81

• liamhebert/FedFormer

  FedFormer: Contextual Federation with Attention in Reinforcement Learning (AAMAS 2023)

  Language:Python388

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python132k26.2k