13 citations · 39 across the 9 of their papers we have counts for
9 papers
Achieving Stable Training of Reinforcement Learning Agents in Bimodal Environments through Batch Learning
E. Hurwitz, N. Peace, G. Cevora
Bimodal, stochastic environments present a challenge to typical Reinforcement Learning problems. This problem is one that is surprisingly common in real world applications, being p…
Forecasting performance of workforce reskilling programmes
Evan Hurwitz, George Cevora
Estimating success rates for programmes aiming to reintegrate theunemployed into the workforce is essential for good stewardship of publicfinances. At the current moment, the metho…
Artificial Intelligence and Economic Theories
Tshilidzi Marwala, Evan Hurwitz
The advent of artificial intelligence has changed many disciplines such as engineering, social science and economics. Artificial intelligence is a computational technique which is…
Artificial Intelligence and Asymmetric Information Theory
Tshilidzi Marwala, Evan Hurwitz
When human agents come together to make decisions, it is often the case that one human agent has more information than the other. This phenomenon is called information asymmetry an…
Common Mistakes when Applying Computational Intelligence and Machine Learning to Stock Market modelling
E. Hurwitz, T. Marwala
For a number of reasons, computational intelligence and machine learning methods have been largely dismissed by the professional community. The reasons for this are numerous and va…
Suitability of using technical indicators as potential strategies within intelligent trading systems
Evan Hurwitz, Tshilidzi Marwala
The potential of machine learning to automate and control nonlinear, complex systems is well established. These same techniques have always presented potential for use in the inves…