MakarovIA/FPS

Explorationg Optimization via MDP

Open

#24 opened on Dec 2, 2016

View on GitHub
 (0 comments) (0 reactions) (1 assignee)C++ (1 fork)github user discovery
Deep Reinforcement Learninghelp wanted

Repository metrics

Stars
 (1 star)
PR merge metrics
 (PR metrics pending)

Description

Reinforcement Learning with Unsupervised Auxiliary Tasks - compare with A3C 1611.05397.pdf Exploration via Density Approach of Case Counting (compare MDP with USL from the 1st article?) 1606.01868v2.pdf

Contributor guide

Research direction
Read the provided papers on unsupervised auxiliary tasks and density based exploration, then propose an implementation of MDP based exploration in the existing C++ project, comparing it with A3C.
Tech stack
None
Domain
machine learningai
Issue type
Research
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.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Needs investigation
Prerequisites
C++Machine Learning
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
30