jjyunho Goto Github PK

asynchronous-methods-for-deep-reinforcement-learning

Using a paper from Google DeepMind I've developed a new version of the DQN using threads exploration instead of memory replay as explain in here: http://arxiv.org/pdf/1602.01783v1.pdf I used the one-step-Q-learning pseudocode, and now we can train the Pong game in less than 20 hours and without any GPU or network distribution.

deeprl

Highly modularized implementation of popular deep RL algorithms by PyTorch

federated-learning-pytorch

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

git_pycharm_test

icurl

Code for reinforcement learning in ICU

intelligentcarpet

jjyunho.github.io

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jjyunho_test.github.io

A configurable jekyll theme for simply beautiful blogs.

pytorch-a3c

Simple A3C implementation with pytorch + multiprocessing

seamless_walk

Seamless_walk core code

sepsis_treatment_model

ue4-joycondriver

Unreal Engine 4 Nintendo Switch Joy Con Driver