6 citations · 8 across the 6 of their papers we have counts for
6 papers
Plasma Confinement State Classification via FPP Relevant Microwave Diagnostics
Randall Clark, Vacslav Glukhov, Georgy Subbotin +4
We present a parsimonious and robust machine learning approach for identifying plasma confinement states in fusion power plants (FPPs) where reliable identification of the low-conf…
Permutative redundancy and uncertainty of the objective in deep learning
Vacslav Glukhov
Implications of uncertain objective functions and permutative symmetry of traditional deep learning architectures are discussed. It is shown that traditional architectures are poll…
Reductive MDPs: A Perspective Beyond Temporal Horizons
Thomas Spooner, Rui Silva, Joshua Lockhart +2
Solving general Markov decision processes (MDPs) is a computationally hard problem. Solving finite-horizon MDPs, on the other hand, is highly tractable with well known polynomial-t…
Reward is not enough: can we liberate AI from the reinforcement learning paradigm?
Vacslav Glukhov
I present arguments against the hypothesis put forward by Silver, Singh, Precup, and Sutton ( https://www.sciencedirect.com/science/article/pii/S0004370221000862 ) : reward maximiz…
Idiosyncrasies and challenges of data driven learning in electronic trading
Vangelis Bacoyannis, Vacslav Glukhov, Tom Jin +2
We outline the idiosyncrasies of neural information processing and machine learning in quantitative finance. We also present some of the approaches we take towards solving the fund…
Geometric approach to the phenomenological theory of phase transitions of the second kind
A. K. Kanyuka, V. S. Glukhov
Geometrical approach to the phenomenological theory of phase transitions of the second kind at constant pressure and variable temperature is proposed. Equilibrium states of…