hyqshr / Pybullet-Gym-Drones
Drone reinforcement learning with multiple tasks in pybullet and OpenAI Gym environment
☆11Updated last year
Alternatives and similar repositories for Pybullet-Gym-Drones:
Users that are interested in Pybullet-Gym-Drones are comparing it to the libraries listed below
- Reinforcement Learning for quadrotor trajectory planning and control☆51Updated last year
- This is the official repository for the paper "Learning Multi-Pursuit Evasion for Safe Targeted Navigation of Drones".☆31Updated last year
- ☆58Updated 2 years ago
- ☆48Updated 2 years ago
- code for `Autonomous navigation of UAV in multi-obstacle environments based on a Deep Reinforcement Learning approach'☆33Updated last year
- DRL-based path planner for real quadrotor☆47Updated last year
- Adaptive Informative Path Planning Using Deep Reinforcement Learning for UAV-based Active Sensing☆105Updated 2 years ago
- RL based robust controller for quadrotor.☆30Updated 3 years ago
- OpenAI Gym environments for Quadrotor UAV☆21Updated last month
- obstacle detection and avoidance for UAV via gazebo☆53Updated last year
- ☆16Updated last year
- multi-turtlebot3 collision avoidance and navigation via DDPG-LSTM with Prioritized Experience Replay on ROS☆75Updated 2 years ago
- Hierarchical and Stable Multiagent Reinforcement Learning for Cooperative Navigation Control☆10Updated 3 years ago
- Multi-UAV Pursuit-Evasion with Online Planning in Unknown Environments by Deep Reinforcement Learning☆59Updated last month
- Part of my final year project:"Robot Path Planning based on Visual SLAM". This is the path planning part. In this part, I have used Q-lea…☆39Updated last year
- OpenAI gym environment of an Unmanned Surface Vehicle.☆42Updated 4 years ago
- Deep Reinforcement Learning based autonomous navigation in realistic simulation environments.☆45Updated 9 months ago
- Multi agent scalable reinforcement learning for formation control with collision avoidance☆34Updated 5 months ago
- Multi-Agent Reinforcement Learning (MARL) method to learn scalable control polices for multi-agent target tracking.☆34Updated last year
- Deep Reinforcement Learning (RL) for target tracking with Autonomous Underwater Vehicles (AUV) using SB3 and HoloOcean simulator☆51Updated 3 weeks ago
- This is a work on using meta-reinforcement learning to achieve autonomous target tracking and obstacle avoidance for UAVs☆41Updated 8 months ago
- A Gazebo-based framework that enhances perception-constrained UAV navigation capabilities guided by non-expert reinforcement learning.☆34Updated 6 months ago
- This repo is related to Deep Policy search using MPC.☆12Updated 2 years ago
- Target tracking environments for RL☆30Updated 4 years ago
- Deep reinforcement learning for UAV in Gazebo simulation environment☆130Updated 6 years ago
- This code is the result of the collaboration of RL Turkey team.☆29Updated last year
- Path Planning for the Robots Using Reinforcement Learning☆35Updated 2 years ago
- Deep Reinforcement Learning navigation of autonomous vehicles. Implementation of deep-Q learning, dyna-Q learning, Q-learning agents incl…☆11Updated 6 months ago
- This is a platform we can use to finish some simple RL demonstration. Team members will modify it step by step~~Hold on! Aoligei!☆27Updated last year
- Code for the paper "Collaborative Target Search with a Visual Drone Swarm: Adaptive Curriculum Embedded Multistage Reinforcement Learnin…☆44Updated last year