Building Dialogue POMDPs from Expert Dialogues: An end-to-end approach (SpringerBriefs in Electrical and Computer Engineering)
暫譯: 從專家對話建立對話 POMDP:一個端到端的方法 (SpringerBriefs in Electrical and Computer Engineering)

Hamidreza Chinaei

  • 出版商: Springer
  • 出版日期: 2016-02-16
  • 售價: $2,310
  • 貴賓價: 9.5$2,195
  • 語言: 英文
  • 頁數: 128
  • 裝訂: Paperback
  • ISBN: 3319261983
  • ISBN-13: 9783319261980
  • 海外代購書籍(需單獨結帳)

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商品描述

This book discusses the Partially Observable Markov Decision Process (POMDP) framework applied in dialogue systems. It presents POMDP as a formal framework to represent uncertainty explicitly while supporting automated policy solving. The authors propose and implement an end-to-end learning approach for dialogue POMDP model components. Starting from scratch, they present the state, the transition model, the observation model and then finally the reward model from unannotated and noisy dialogues. These altogether form a significant set of contributions that can potentially inspire substantial further work. This concise manuscript is written in a simple language, full of illustrative examples, figures, and tables.

商品描述(中文翻譯)

本書討論了應用於對話系統的部分可觀察馬可夫決策過程(Partially Observable Markov Decision Process, POMDP)框架。它將POMDP呈現為一個正式的框架,以明確表示不確定性,同時支持自動化政策求解。作者提出並實現了一種端到端的學習方法,用於對話POMDP模型組件。從零開始,他們展示了狀態、轉移模型、觀察模型,最後是來自未標註和噪聲對話的獎勵模型。這些共同構成了一組重要的貢獻,可能會激發進一步的重大研究工作。這本簡明的手稿使用簡單的語言撰寫,充滿了說明性範例、圖形和表格。