DLR-RM/stable-baselines3

[Feature Request] RAINBOW

Open

#622 opened on Oct 22, 2021

View on GitHub
 (8 comments) (2 reactions) (0 assignees)Python (1,407 forks)batch import
enhancementhelp wanted

Repository metrics

Stars
 (6,550 stars)
PR merge metrics
 (Avg merge 11d 13h) (3 merged PRs in 30d)

Description

Important Note: We do not do technical support, nor consulting and don't answer personal questions per email. Please post your question on the RL Discord, Reddit or Stack Overflow in that case.

🚀 Feature

Implement RAINBOW (DQN + all extensions: noisy-net, double dqn, dueling, c51, prioritized experience replay).

closes #487 if it is implemented.

Motivation

This would allow to have DQN with all extensions while keeping DQN code simple.

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

Contributor guide

Research direction
Study the existing DQN implementation in stable baselines3 and each extension (noisy net, double dqn, dueling, c51, prioritized replay). Understand the algorithm from the Rainbow paper. Plan the integration while keeping the codebase modular.
Tech stack
pythonpytorch
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.
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.
Clear
Prerequisites
PythonPyTorchReinforcement Learning
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
30