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applied-reinforcement-learning

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

awesome-autonomous-driving-papers

This repository provides awesome research papers for autonomous driving perception. If you do find a problem or have any suggestions, please raise this as an issue or make a pull request with information (format of the repo): Research paper title, datasets, metrics, objects, source code, publisher, and year.

awesome-mlops

A curated list of references for MLOps

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

aws-guide

Amazon Web Services (AWS) Guide. Learn all about Amazon Web Services Tools, Services, and Certifications.

carnd-camera-calibration

Images and notebook for camera calibration

coach

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

crazyflie-firmware

The main firmware for the Crazyflie Nano Quadcopter.

data-structures-algorithms-python

This tutorial playlist covers data structures and algorithms in python. Every tutorial has theory behind data structure or an algorithm, BIG O Complexity analysis and exercises that you can practice on.

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

feedback-challenge

gym-pybullet-drones

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

hierarchical-actor-critc-hac-

This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.

hierarchical-actor-critic-hac-pytorch

PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments

hrl4in

Code for CoRL 2019 paper: HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators

inclineddronelander

Inclined Drone landing using deep reinforcement learning

lalithkishore31

Config files for my GitHub profile.

maddpg-rllib

MADDPG in Ray/RLlib

madrl

Repo containing code for multi-agent deep reinforcement learning (MADRL).

matd3implementation

Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics"

multiagent-particle-envs

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

nd013-c1-vision-starter

Starter Code for the Course 1 project of the Udacity Self-Driving Car Engineer Nanodegree Program

pytorch-deep-learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

qtran

There will be updates later

reinforcement-learning

seac

The official code base of Shared Experience Actor-Critic (NeurIPS2020)

uav_obstacle_avoidance_controller

UAV Obstacle Avoidance using Deep Recurrent Reinforcement Learning with Temporal Attention

uav_swarm_reinforcement_learning

updet

Official Implementation of 'UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers' ICLR 2021(spotlight)