DLR-RM/stable-baselines3

[Feature Request] RAINBOW

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#622 建立於 2021年10月22日

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 (8 留言) (2 反應) (0 負責人)Python (6,550 star) (1,407 fork)batch import
enhancementhelp wanted

描述

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🚀 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)

貢獻者指南

技術棧
pythonpytorch
領域
machine learningai
議題類型
feature
難度面向新貢獻者的預計實作難度，1 表示很小改動，5 表示專家級工作。
5
預計時間有經驗貢獻者完成調查、實作、測試並準備 pull request 的粗略時間範圍。
over 1 week
活動狀態議題目前的可參與程度：新鮮、活躍、陳舊、阻塞或等待維護者輸入。
stale
清晰度議題是否清楚說明預期改動、驗收標準和下一步。
mostly clear
前置要求
reinforcement learningPyTorchstable baselines3DQN
新手友善度1-100 的估計分數，表示該議題對首次貢獻者的友善程度。
15
研究方向
Review the existing DQN implementation in stable baselines3/dqn/. Examine referenced issue #487 for prior discussion. Understand each extension: noisy nets, double DQN, dueling network, C51 distributional RL, and prioritized experience replay. Plan modular integration into the DQN class. Consult the Rainbow paper for algorithmic details.