mlsanityData to 7 Oct 2026

Towards End-to-End Learning for Dialog State Tracking and Management using Deep Reinforcement Learning

arXiv 1606.02560 ↗First posted 8 Jun 2016cs.AI cs.CL cs.LGcited by 29

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Abstract (arXiv)

This paper presents an end-to-end framework for task-oriented dialog systems using a variant of Deep Recurrent Q-Networks (DRQN). The model is able to interface with a relational database and jointly learn policies for both language understanding and dialog strategy. Moreover, we propose a hybrid algorithm that combines the strength of reinforcement learning and supervised learning to achieve faster learning speed. We evaluated the proposed model on a 20 Question Game conversational game simulator. Results show that the proposed method outperforms the modular-based baseline and learns a distributed representation of the latent dialog state.

Key facts. Cited by 29 papers in the map (data through 7 Oct 2026). First posted on arXiv 8 Jun 2016.

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Citing papers per year: 2018: 1; 2019: 0; 2020: 0; 2021: 10; 2022: 7; 2023: 5; 2024: 3; 2025: 2; 2026: 1.

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  1. 2024A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systemscited by 170
  2. 2021Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Surveycited by 130
  3. 2022A Survey on Recent Advances and Challenges in Reinforcement Learning Methods for Task-Oriented Dialogue Policy Learningcited by 30
  4. 2018Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learningcited by 21
  5. 2024ChatShop: Interactive Information Seeking with Language Agentscited by 21
  6. 2021A Survey on Deep Reinforcement Learning for Audio-Based Applicationscited by 17
  7. 2023End-to-end Task-oriented Dialogue: A Survey of Tasks, Methods, and Future Directionscited by 17
  8. 2023Long-Horizon Dialogue Understanding for Role Identification in the Game of Avalon with Large Language Modelscited by 12
  9. 2023Reinforcement Learning for Generative AI: A Surveycited by 11
  10. 2024A Survey On Enhancing Reinforcement Learning in Complex Environments: Insights from Human and LLM Feedbackcited by 9
  11. 2025Fast and Fluent Diffusion Language Models via Convolutional Decoding and Rejective Fine-tuningcited by 8
  12. 2022Post-processing Networks: Method for Optimizing Pipeline Task-oriented Dialogue Systems using Reinforcement Learningcited by 5
17 more
  1. 2023Using Textual Interface to Align External Knowledge for End-to-End Task-Oriented Dialogue Systemscited by 4
  2. 2022Are Current Task-oriented Dialogue Systems Able to Satisfy Impolite Users?cited by 3
  3. 2021A Deep Reinforcement Learning Approach for Traffic Signal Control Optimizationcited by 2
  4. 2021WeaSuL: Weakly Supervised Dialogue Policy Learning: Reward Estimation for Multi-turn Dialoguecited by 2
  5. 2021A Speaker-aware Parallel Hierarchical Attentive Encoder-Decoder Model for Multi-turn Dialogue Generationcited by 2
  6. 2022End-to-End Evaluation of a Spoken Dialogue System for Learning Basic Mathematicscited by 2
  7. 2021Converse, Focus and Guess -- Towards Multi-Document Driven Dialoguecited by 1
  8. 2021DRL: Deep Reinforcement Learning for Intelligent Robot Control -- Concept, Literature, and Futurecited by 1
  9. 2021Joint System-Wise Optimization for Pipeline Goal-Oriented Dialog Systemcited by 1
  10. 2021Multi-Task Learning for Situated Multi-Domain End-to-End Dialogue Systemscited by 1
  11. 2022A Spoken Drug Prescription Dataset in French for Spoken Language Understandingcited by 1
  12. 2021Every time I fire a conversational designer, the performance of the dialog system goes downcited by 0
  13. 2022Demonstrating CAT: Synthesizing Data-Aware Conversational Agents for Transactional Databasescited by 0
  14. 2022Reinforcement Learning of Multi-Domain Dialog Policies Via Action Embeddingscited by 0
  15. 2023Spoken Dialogue System for Medical Prescription Acquisition on Smartphone: Development, Corpus and Evaluationcited by 0
  16. 2025Optimizing Conversational Product Recommendation via Reinforcement Learningcited by 0
  17. 2026Dont Just Teach, Explain! A Gamified 20Q Recommender for Cybersecurity Educationcited by 0