hilariouss

tech-interview

:loudspeaker:🙍 tech interview

Reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

-Review-Dueling-Deep-Q-Network

[Review & Implementation]

maddpg

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

openpilot

open source driving agent

-RL-AWS_DeepRacer_Project

본 저장소는 아마존 웹 서비스 (AWS)에서 출시한 '강화학습 기반 자율주행자동차'인 AWS DeepRacer를 활용한 연구물들을 저장합니다. AWS SageMaker 및 AWS RoboMaker를 활용한 AWS DeepRacer 프로젝트 관련된 파일들이 업로드 될 예정입니다. :)

-RL-Value_based_summariaztion

이 저장소는 DQN, DRQN, PER, Rainbow DQN과 같은 value-based RL 알고리즘들을 정리하고 직접 구현한 소스코드를 공유합니다.

sac

Soft Actor-Critic

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

aws-robomaker-sample-application-deepracer

Use AWS RoboMaker and demonstrate running a simulation which trains a reinforcement learning (RL) model to drive a car around a track

DeepRL-Tutorials

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

magnet

MAGNet: Multi-agents control using Graph Neural Networks

-RL-ReviewPapers

This is a repository for reviewing some interesting RL papers.

TensorFlow-Tutorials

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

MARL-Papers

Paper list of multi-agent reinforcement learning (MARL)

DeepRL-Tutorials

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

MARL-Papers

Paper list of multi-agent reinforcement learning (MARL)

maddpg

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

multi-agent-rl

Reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

tensorflow-reinforce

Implementations of Reinforcement Learning Models in Tensorflow

-RL-PolicyGradient_summarization

이 저장소는 강화학습의 학습 방법 중 하나인 정책 경사(policy gradient)에 대한 방법론을 정리합니다.

-Review-Multi-Agent-Actor-Critic-for-Mixed-Cooperative-Competitive-Environment

[Review] Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environment

-RL-DeepQNetwork_Cartpole

이 저장소는 OpenAI gym의 cartpole 환경을 Deep Q Network를 활용해 학습하는 코드를 담고있습니다.

DDPG_mj

DDPG_mj

-RL-Deep_Q_Network

This repository describes the 'Deep Q-Network'. For the improved algorithms, 'Dueling DQN', which divide the action-value function (Q(s, a)) into advantage function (A(a)) and state-value function (v(s)) and 'Double DQN', which has two neural network (primary NN and target NN) will be uploaded as well.

-RL-Double_Dueling_DQN

This repository implements the 'double dueling DQN', which extends the DQN.

-RL-My_IEEE_Journal_Imple.-DDPG-

This repository contains my work submitted to IEEE Transactions on Vehicular Technology (TVT). The journal is about 'proactive caching policy learning in mmWave vehicular networks' with DDPG. Some part of the contents will be uploaded after submission.