PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
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Updated
Sep 25, 2019 - Python
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
Library to simplify interception of asynchronous methods
Tensorflow implementation of asyncronous 1-step Q learning in "Asynchronous Methods for Deep Reinforcement Learning" with improvement on weight update process (use minibatch) to speed up training.
PyTorch implementation of A3C (Asynchronous Advantage Actor Critic)
KOrean Rpc-based Handy Application for Language processing
This repository is a fork of a repository originally created by Lucas Descause. It is the codebase used for my Master's dissertation "Reinforcement Learning with Function Approximation in Continuing Tasks: Discounted Return or Average Reward?" which was also an extension of Luca's work.
A simple app to get used to using asynchronous methods and using external API calls using the http package of flutter.
Code for Evolution of asynchronous programming on .NET session
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