Browsing by Subject "Problem domain"

Now showing items 1-3 of 3

    • Article  

      An extension of a hierarchical reinforcement learning algorithm for multiagent settings 

      Lambrou, Ioannis; Vassiliades, Vassilis; Christodoulou, Chris C. (2012)
      This paper compares and investigates single-agent reinforcement learning (RL) algorithms on the simple and an extended taxi problem domain, and multiagent RL algorithms on a multiagent extension of the simple taxi problem ...
    • Article  

      Isolating stock prices variation with neural networks 

      Draganova, C.; Lanitis, A.; Christodoulou, Chris C. (2009)
      In this study we aim to define a mapping function that relates the general index value among a set of shares to the prices of individual shares. In more general terms this is problem of defining the relationship between ...
    • Article  

      Neural network methods for one-to-many multi-valued mapping problems 

      Jayne, C.; Lanitis, A.; Christodoulou, Chris C. (2011)
      An investigation of the applicability of neural network-based methods in predicting the values of multiple parameters, given the value of a single parameter within a particular problem domain is presented. In this context, ...