mazqtpopx
Postdoc. Drone Detection, Autonomous UAV Navigation, RL, DNNs, Synthetic Data
Cranfield University
mazqtpopx's Stars
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
karpathy/LLM101n
LLM101n: Let's build a Storyteller
academicpages/academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
ggerganov/kbd-audio
🎤⌨️ Acoustic keyboard eavesdropping
Farama-Foundation/Gymnasium
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
ethz-asl/maplab
A Modular and Multi-Modal Mapping Framework
ros-navigation/navigation2
ROS 2 Navigation Framework and System
danijar/dreamerv3
Mastering Diverse Domains through World Models
ethz-asl/rotors_simulator
RotorS is a UAV gazebo simulator
rail-berkeley/softlearning
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
quantumiracle/Popular-RL-Algorithms
PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
Khrylx/PyTorch-RL
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
uzh-rpg/flightmare
An Open Flexible Quadrotor Simulator
NVlabs/curobo
CUDA Accelerated Robot Library
jjshoots/RemoteIDSpoofer
NodeMCU RemoteID Spoofer
andrew-j-levy/Hierarchical-Actor-Critc-HAC-
This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.
aws-robotics/aws-robomaker-hospital-world
This Gazebo world is well suited for organizations who are building and testing robot applications in hospitals.
lis-epfl/apg_trajectory_tracking
Training efficient drone controllers with Analytic Policy Gradient
jjshoots/PyFlyt
UAV Flight Simulator for Reinforcement Learning Research
danijar/director
Deep Hierarchical Planning from Pixels
alirezakazemipour/DDPG-HER
Implementation of the Deep Deterministic Policy Gradient and Hindsight Experience Replay.
uoe-agents/IGP2
Official Repository for "Interpretable Goal-based Prediction and Planning for Autonomous Driving" (ICRA 2021)
leehe228/LogisticsEnv
UAV Logistics Environment for Multi-Agent Reinforcement Learning / Unity ML-Agents / Unity 3D
ChengshuLi/HRL4IN
Code for CoRL 2019 paper: HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators
jjshoots/CrazyFlyt
Crazyflie UAV simulation based on the PyFlyt library
knmcguire/ros_gz_crazyflie
ntnu-arl/rotors_simulator
RotorS is a UAV gazebo simulator
uzh-rpg/VAPAR
MarcDV1999/overcooked-explainability
Application of a RL explainability method based on the construction of a Policy Graph that represents the agent's behaviour in a multi-agent RL cooperative environment (Overcooked)
jjshoots/RLTeamAerialCombat
Aerial dogfighting in a team setting using PyFlyt and RL.