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aerial_gym_simulator

This repository contains code for Aerial Gym - IsaacGym Simulator for Aerial Robots

cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

depth-anything

Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

drl-nav

Deep Reinforcement Learning based autonomous navigation in realistic simulation environments.

fast-racing

An Open-source Strong Baseline for SE(3) Planning in Autonomous Drone Racing

gym-pybullet-drones

PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control

isaacgymenvs

Isaac Gym Reinforcement Learning Environments

mappo

This is the official implementation of Multi-Agent PPO (MAPPO).

minimalrl

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

multiagent_gnn_policies

Learning multi-agent policies for flocking using graph neural networks

mychoi97

omnidrones

ppo-based-autonomous-navigation-for-quadcopters

Deep Reinforcement Learning based autonomous navigation for quadcopters using PPO algorithm.

ppo-pytorch

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

prl4airsim

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

quad-swarm-rl