mychoi97

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