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-multiarmed_bandit-reinforcement-learning

This repository is implementation regarding "Multiarmed bandit problem"

-reference-nlp_rl

Bag of references for paper work

-review-dueling-deep-q-network

[Review & Implementation]

-review-playing-atari-with-deep-reinforcement-learning-deep-mind-technologies

[Review] Playing Atari with Deep Reinforcement Learning-Deep Mind Technologies

-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-context_bandit

Context bandit problem with reinforcement learning

-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-deepqnetwork_cartpole

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

-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.

-rl-policygradient_summarization

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

-rl-q_learning

This repo. is about the Q-learning

-rl-q_learning-neural-network-

Q-learning with neural network

-rl-reviewpapers

This is a repository for reviewing some interesting RL papers.

-rl-value_based_summariaztion

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

-tvt-a3c-base

A3C base code (w/. Tensorflow) for TVT

-tvt-dqn-base

DQN base code (w/. Keras) for TVT

a3c-lstm

A3C-LSTM algorithm tested on CartPole OpenAI Gym environment

acer

Actor-critic with experience replay

actor_critic

This is the code for "Actor Critic Algorithms" by Siraj Raval on Youtube

amazon-sagemaker-examples

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

assignment01

CAU_Datamining assignment01

assignment02

Datamining class assignment02

assignment03

Datamining class assignment03

assignment04

Datamining assignment 04

assignment05

assignment05

assignment06

assignment06

assignment07

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

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms