Program for stream Stochastic Dynamic Programming and Learning Policies

TC-28: Stochastic Models and Optimal Learning
Stream: Stochastic Dynamic Programming and Learning Policies
Room: Y405 (building Main lobby)
Chair(s): Flora Spieksma

• Addressing the trade-off between optimal cumulative reward and unbiased estimation in sequential experiments
  Amin Yarahmadi, Peter Jacko
• Optimal data driven policies under constrained multi-armed bandit observations
  Odysseas Kanavetas, Apostolos Burnetas, Michael Katehakis
• Approximate Dynamic Programming with Adaptive Multivariate Simplex Splines
  Maike de Jongh, Richard Boucherie, Aleida Braaksma
• Markov decision processes with a special lumpable structure: server farm optimisation
  Flora Spieksma

TD-28: Learning Methods for Stochastic Models
Stream: Stochastic Dynamic Programming and Learning Policies
Room: Y405 (building Main lobby)
Chair(s): Odysseas Kanavetas

• A stochastic game framework for patrolling a border
  Matthew Darlington, Kevin Glazebrook, David Leslie, Rob Shone, Roberto Szechtman
• Adjusted Distributionally Robust Bounds on Expected Loss Functions
  Yasemin Merzifonluoglu, Joseph Geunes
• Optimal Discrete Search with a Map
  Edward Mellor, Kevin Glazebrook, Rob Shone, Kyle Lin

WA-28: Novel Data Mining Methodologies for COVID-19 Data prediction incorporating spatial and socioeconomic information. Session I
Stream: Stochastic Dynamic Programming and Learning Policies
Room: Y405 (building Main lobby)
Chair(s): Michael Katehakis, Javier Cabrera, Chun Pang Lin

• COVID-19 Daily Case and Death Prediction using Deep Learning Models with Time-lag Features
  Yajie Duan, Javier Cabrera, Dhammika Amaratunga, Michael Katehakis, Jin Wang, Nuria Diaz-Tena, Chun Pang Lin, Michalis Xyntarakis, Wenting Wang, Debopriya Ghosh
• Voucher Effect in Sequencing Arrivals of Appointment-Based Queues
  Boray Huang
• Forecasting COVID-19 deaths using time series model with changes points
  Chun Pang Lin, Javier Cabrera, Dhammika Amaratunga, Yajie Duan, Michael Katehakis, Jin Wang, Wenting Wang

WB-28: Novel Data Mining Methodologies for COVID-19 Data prediction incorporating spatial and socioeconomic information. Session II
Stream: Stochastic Dynamic Programming and Learning Policies
Room: Y405 (building Main lobby)
Chair(s): Javier Cabrera, Michael Katehakis, Martin Smid

• Using fractal analysis to measure the dimensionality of a worldwide dataset for detecting countries with excess COVID deaths
  Nuria Diaz-Tena
• SEIR Filter: A Stochastic Model of Epidemics
  Martin Smid