slienteagle-wyb Goto Github PK

agile_flight

Developing and Comparing Vision-based Algorithms for Vision-based Agile Flight

ai_lib

airsim-drone-racing-vae-imitation

Code associated with our paper "Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations": https://arxiv.org/abs/1909.06993

atari-representation-learning

Code for "Unsupervised State Representation Learning in Atari"

cleanrl

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

compass

COntrastive Multimodal Pretraining for AutonomouS Systems

competition_3v3snakes

convnext

Code release for ConvNeXt model

curl

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

decision-transformer

Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.

djitellopy

DJI Tello drone python interface using the official Tello SDK. Feel free to contribute!

dm_control

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

dreamerv2

Mastering Atari with Discrete World Models

drift_drl

High-speed Autonomous Drifting with Deep Reinforcement Learning

drqv2

DrQ-v2: Improved Data-Augmented Reinforcement Learning

flightgoggles

A framework for photorealistic hardware-in-the-loop agile flight simulation using Unity3D and ROS. Developed by MIT AERA group.

flightmare

An Open Flexible Quadrotor Simulator

google-research

Google Research

gym

A toolkit for developing and comparing reinforcement learning algorithms.

gym-pybullet-drones

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

hands_on_diffusion

some toy scripts based on book 'Hands-On Generative AI with Transformers and Diffusion Models'

iris

Transformers are Sample Efficient World Models

isaacgymenvs

Isaac Gym Reinforcement Learning Environments

ml-agents

Unity Machine Learning Agents Toolkit

models

Models and examples built with TensorFlow

myosuite

MyoSuite is a collection of environments/tasks to be solved by musculoskeletal models simulated with the MuJoCo physics engine and wrapped in the OpenAI gym API.

omniisaacgymenvs

Reinforcement Learning Environments for Omniverse Isaac Gym

pg-is-all-you-need

Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.

planet

Learning Latent Dynamics for Planning from Pixels

pydreamer

PyTorch implementation of DreamerV2 model-based RL algorithm