ml5js/ml5-library

Reinforcement Learning and/or NeuroEvolution

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#113 opened on Apr 19, 2018

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Description

At some point we thinking about having reinforcement learning and/or neuro-evolution-style reinforcement learning examples in ml5. Some references:

With Genetic Algorithms and vanilla JS neural network

Deep Q Learning

MIT Self Driving Car course

Contributor guide

Research direction
Explore existing reinforcement learning implementations in JavaScript, such as those using TensorFlow.js, and investigate how to integrate them into the ml5 library's API design.
Tech stack
javascript
Domain
machine learning
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
Half day
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Stale
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
JavaScriptMachine Learning basics
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
60