Paweł Budzianowski bio photo

Paweł Budzianowski

Machine Learning, Dialogue Systems, Artificial Intelligence

Email Scholar LinkedIn GitHub



  1. MultiWOZ - A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling, EMNLP 2018. [data] [code]

    Paweł Budzianowski, Tsung-Hsien Wen, Bo-Hsiang Tseng, Inigo Casanueva, Stefan Ultes, Osman Ramadan, Milica Gasic
    Best Resource Paper Award, 1 of 4 out of 548 accepted papers

  2. Large-Scale Multi-Domain Belief Tracking with Knowledge Sharing, ACL 2018. [code]

    Osman Ramadan, Paweł Budzianowski, Milica Gasic

  3. Benchmarking Uncertainty Estimates with Deep Reinforcement Learning for Dialogue Policy Optimisation, ICASSP 2018.

    Christopher Tegho*, Paweł Budzianowski*, Milica Gasic
    Best Student Paper Award, 1 of 10 out of 1442 accepted papers

  4. Sample Efficient Deep Reinforcement Learning for Dialogue Systems with Large Action Spaces, IEEE Transaction on Audio, Speech and Language Processing, 2018.

    Gellert Weisz, Paweł Budzianowski, Pei-Hao Su, Milica Gasic

  5. Uncertainty Estimates for Efficient Neural Network-based Dialogue Policy Optimisation, Bayesian Deep Learning Workshop, NIPS 2017.

    Christopher Tegho*, Paweł Budzianowski*, Milica Gasic

  6. “A Benchmarking Environment for Reinforcement Learning Based Task Oriented Dialogue Management”, Deep Reinforcement Learning Symposium, NIPS 2017.

    Inigo Casanueva*, Paweł Budzianowski*, Pei-Hao Su*, Nikola Mrkšić, Tsung-Hsien Wen, Stefan Ultes, Lina Rojas-Barahona, Steve Young and Milica Gasic

  7. “Sub-domain Modelling for Dialogue Management with Hierarchical Reinforcement Learning”, SIGDIAL 2017.

    Paweł Budzianowski, Stefan Ultes, Pei-Hao Su, Nikola Mrkšić, Tsung-Hsien Wen, Iñigo Casanueva, Lina M. Rojas Barahona and Milica Gasic

  8. “Sample-efficient Actor-Critic Reinforcement Learning with Supervised Data for Dialogue Management”, SIGDIAL 2017.

    Pei-Hao Su, Paweł Budzianowski, Stefan Ultes, Milica Gasic and Steve Young

  9. “Copula Models in Macroeconomic Analysis of Dependence”, (in Polish), Local, Regional and Global Economy, 2014.

    Paweł Budzianowski

*equal contribution

Collaborated Papers

  1. “PyDial: A Multi-domain Statistical Dialogue System Toolkit”, ACL 2017

    Stefan Ultes, Lina M. Rojas Barahona, Pei-Hao Su, David Vandyke, Dongho Kim, Iñigo Casanueva, Paweł Budzianowski, Nikola Mrkšić, Tsung-Hsien Wen, Milica Gasic and Steve Young

Website articles

  1. Artificial Intelligence is Coming, Poznan Mathematical Foundation 2016
  2. Kepler’s laws, co-author, Poznan Mathematical Foundation, 2014


  1. Training Restricted Boltzmann Machines Using High-Temperature Expansion, Master’s Thesis, Engineering Department, University of Cambridge, first-class honours.
  2. Applications of copulas in calculating Value-at-Risk (in Polish), Master’s Thesis, Faculty of Mathematics and Computer Science, Adam Mickiewicz University in Poznan, first-class honours.