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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 deep reinforcement …
Repository for the textbook: Small Unmanned Aircraft: Theory and Practice, by Randy Beard and Tim McLain
A basic fixed-wing autopilot for ROS - based on the textbook "Small Unmanned Aircraft: Theory and Practice" by Randy Beard and Tim McLain
Fixed-Wing UAV Formation Controller Design and Implementation
A multiple fixed-wing UAVs flight simulation platform built by matlab and simulink.
Bio-insect flapping wing micro aerial vehicle (FWMAV) is a kind of centimeter-scale air-flying robot which imitates the flapping-wing motion pattern of flying insects in order to realize flying abi…
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
Multi agent scalable reinforcement learning for formation control with collision avoidance
An open source dynamic simulation for flapping wing robots and animals
Flapping-wing aircraft flight control system used LIAC
JMLR: OmniSafe is an infrastructural framework for accelerating SafeRL research.
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
Official implementation of HARL algorithms based on PyTorch.
code for `Autonomous navigation of UAV in multi-obstacle environments based on a Deep Reinforcement Learning approach'
One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
A collection of work using nonlinear model predictive control (NMPC) with discrete-time control Lyapunov functions (CLFs) and control barrier functions (CBFs)
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
"Safety-Critical Model Predictive Control with Discrete-Time Control Barrier Function" by J. Zeng, B. Zhang and K. Sreenath https://arxiv.org/abs/2007.11718
Matlab Interface for Control Barrier Function (CBF) and Control Lyapunov Function (CLF) based control methods.
yolov5,yolov7,yolov8,rtdetr with pyqt implement in pytorch.
The dataset for drone based detection and tracking is released, including both image/video, and annotations.
Source Code
Formation Flight in Dense Environments
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…