ysbsb / airsim_quadrotor_pytorch
Pytorch implementation of reinforcement learning environment for Microsoft AirSim Unity quadrotor
☆32Updated 5 years ago
Alternatives and similar repositories for airsim_quadrotor_pytorch:
Users that are interested in airsim_quadrotor_pytorch are comparing it to the libraries listed below
- Long-Term Planning with Deep Reinforcement Learning on Autonomous Drones☆44Updated 4 years ago
- Reinforcement learning algorithms for Algorithm, policy exploration in Air Learning☆49Updated 5 years ago
- ☆70Updated 6 years ago
- Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments☆51Updated 2 years ago
- Deep reinforcement learning for UAV in Gazebo simulation environment☆130Updated 6 years ago
- Environment Generator for Air Learning Project. This version is build on top of UE4 game engine☆45Updated 4 years ago
- Target tracking environments for RL☆30Updated 4 years ago
- Deep Reinforcement Learning based autonomous navigation for quadcopters using PPO algorithm.☆73Updated 9 months ago
- OpenAI Gym environment for AirSim☆20Updated 5 years ago
- Public repository for Air Learning project☆222Updated 3 years ago
- [SIGGRAPH 2019] Learning to Fly: Computational Controller Design for Hybrid UAVs with Reinforcement Learning☆72Updated 2 years ago
- Deep Reinforcement Learning based autonomous navigation in realistic simulation environments.☆45Updated 10 months ago
- A simple Reinforcement Learning Demo for Obstacle Avoidance of using Microsoft AirSim☆29Updated 6 years ago
- ☆58Updated 2 years ago
- A drone control system based on deep reinforcement learning with Tensorflow and ROS☆122Updated 7 years ago
- Python code for Deep Reinforcement Learning with Transfer Learning in a Simulated Environment☆72Updated 2 years ago
- Autonomous Landing of UAV on a moving base using Reinforcement Learning☆26Updated 5 years ago
- UAV Obstacle Avoidance using Deep Recurrent Reinforcement Learning with Temporal Attention☆101Updated 6 years ago
- Quadrotor LAnding Benchmarking (QLAB) is a simulated environment for developing and testing landing algorithms for unmanned aerial vehicl…☆30Updated 4 years ago
- Inclined Drone landing using deep reinforcement learning☆21Updated 3 years ago
- Adaptive Risk Tendency Implicit Quantile Network for Drone Navigation under Partial Observability.☆32Updated 3 years ago
- A SAC implementation to use upon larocs/Drone_RL☆27Updated 4 years ago
- Deep Reinforcement Learning for Fixed-Wing Flight Control with Deep Q-Network☆75Updated 8 years ago
- ☆13Updated 3 years ago
- Experiments with Deep Reinforcement Learning on autonomous vehicles (car and uav drone) in AirSim Simulator☆51Updated 4 years ago
- Gym environment for cooperative multi-agent reinforcement learning in heterogeneous robot teams☆45Updated 3 years ago
- This code is the result of the collaboration of RL Turkey team.☆29Updated last year
- ☆40Updated 5 years ago
- Autonomous Navigation of UAV using Reinforcement Learning algorithms.☆209Updated 5 years ago
- RL based robust controller for quadrotor.☆30Updated 3 years ago