Kaixhin/Atari

Implement optimality tightening

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#60 opened on Dec 11, 2016

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 (8 comments) (0 reactions) (0 assignees)Lua (72 forks)github user discovery
enhancementhelp wanted

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Description

Learning to Play in a Day: Faster Deep Reinforcement Learning by Optimality Tightening potentially speeds up Q-learning by an order of magnitude! Apparently not too hard to implement either.

Contributor guide

Research direction
Read the paper 'Learning to Play in a Day' and implement optimality tightening in the existing DQN codebase.
Tech stack
lua
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.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-2 days
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.
Clear
Prerequisites
reinforcement learningLua
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
40