Exploiting Environment Configurability in Reinforcement Learning

2024-02-18 分类：The MIT Press 评论(0)


Exploiting Environment Configurability in Reinforcement Learning (Frontiers in Artificial Intelligence and Applications, 361)
Author: Metelli (Author), A.M. (Author)
Publisher finelybook 出版社:‏ IOS Press
Publication Date 出版日期:‏ 2022-12-01
Language 语言: English
Print Length 页数: 376 pages
ISBN-10: 1643683624
ISBN-13: 9781643683621

Book Description

In recent decades, Reinforcement Learning (RL) has emerged as an effective approach to address complex control tasks. In a Markov Decision Process (MDP), the framework typically used, the environment is assumed to be a fixed entity that cannot be altered externally. There are, however, several real-world scenarios in which the environment can be modified to a limited extent. This book, Exploiting Environment Configurability in Reinforcement Learning, aims to formalize and study diverse aspects of environment configuration. In a traditional MDP, the agent perceives the state of the environment and performs actions. As a consequence, the environment transitions to a new state and generates a reward signal. The goal of the agent consists of learning a policy, i.e., a prescription of actions that maximize the long-term reward. Although environment configuration arises quite often in real applications, the topic is very little explored in the literature. The contributions in the book are theoretical, algorithmic, and experimental and can be broadly subdivided into three parts. The first part introduces the novel formalism of Configurable Markov Decision Processes (Conf-MDPs) to model the configuration opportunities offered by the environment. The second part of the book focuses on the cooperative Conf-MDP setting and investigates the problem of finding an agent policy and an environment configuration that jointly optimize the long-term reward. The third part addresses two specific applications of the Conf-MDP framework: policy space identification and control frequency adaptation. The book will be of interest to all those using RL as part of their work.

Amazon page

下载地址 Download解决验证以访问链接！
AD：【如何下载、打开扩展名：PDF、EPUB、MOBI、AZW3、ZIP、RAR】阅读-使用帮助
打赏
未经允许不得转载：finelybook » Exploiting Environment Configurability in Reinforcement Learning

相关推荐

评论 抢沙发

取消

分类目录

  • Academic Press
  • Banned Books
  • Cambridge
  • CRC Press
  • Elsevier
  • For Dummies
  • Head First
  • Kindle Edition
  • Manning
  • McGraw-Hill
  • Microsoft Press
  • No Starch Press
  • O'Reilly
  • Pearson
  • Pragmatic
  • Prentice Hall
  • RayWenderlich
  • Routledge
  • Sybex
  • The MIT Press
  • Wiley
  • Wrox
  • 中文版
  • 电子书

    • 热门标签

    FunctionalConferenceChatGPTComputerAngularCADanalysisWirelessFinanceOpenAISwiftanalyticsDeepHTMLMachineSQLccMapDjangoMRWebCopilotCCNAC++17AILeadershipSoftC++14Wi-Fi 7Kids
    提供 电子书 代查,代购,代下服务(科目不限)
    登记需求，请访问http://finelybook.com/messages/

    觉得文章有用就打赏一下

    您的打赏，我们将继续给力更多优质内容

    支付宝扫一扫

    微信扫一扫