DLR-RM/stable-baselines3

Prioritized Experience Replay for DQN

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#1,242 opened on Dec 26, 2022

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 (10 comments) (0 reactions) (0 assignees)Python (1,407 forks)batch import
enhancementhelp wanted

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Description

🚀 Feature

Prioritized Experience Replay for DQN

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Pitch

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  • I have checked that there is no similar issue in the repo

Contributor guide

Research direction
Implement prioritized experience replay for DQN, which involves modifying the replay buffer to store priorities and sample based on them. Research the PER algorithm from the paper 'Prioritized Experience Replay' (Schaul et al., 2015). Integrate it into the existing DQN implementation in stable baselines3.
Tech stack
python
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.
Mostly clear
Prerequisites
PythonPyTorchReinforcement Learning basics
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
45