ml5js/ml5-library

Reinforcement Learning and/or NeuroEvolution

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#113 opened on Apr 19, 2018

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 (13 comments) (6 reactions) (0 assignees)JavaScript (6,136 stars) (905 forks)batch import
feature requesthelp wantedneural-network

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

Tech stack
javascripttensorflow
Domain
machine learningai
Issue type
feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
4
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
over 1 week
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.
needs investigation
Prerequisites
Familiarity with ml5Neural network basicsReinforcement learning concepts
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
20
Research direction
Investigate integration of reinforcement learning algorithms into ml5. Review linked repositories for implementation patterns. Consider starting with a simple example like the NeuroEvolution of Augmenting Topologies (NEAT) or a Q learning example using the ml5 neural network API. Discuss scope and desired examples with maintainers in the issue comments.
Reinforcement Learning and/or NeuroEvolution · ml5js/ml5-library#113 | Good First Issue