30 citations · 42 across the 11 of their papers we have counts for
3 papers · 1 filter
Decision Theoretic Bootstrapping
Peyman Tavallali, Hamed Hamze Bajgiran, Danial J. Esaid +1
The design and testing of supervised machine learning models combine two fundamental distributions: (1) the training data distribution (2) the testing data distribution. Although t…
Adversarial Poisoning Attacks and Defense for General Multi-Class Models Based On Synthetic Reduced Nearest Neighbors
Pooya Tavallali, Vahid Behzadan, Peyman Tavallali +1
State-of-the-art machine learning models are vulnerable to data poisoning attacks whose purpose is to undermine the integrity of the model. However, the current literature on data…
Discrete linear-complexity reinforcement learning in continuous action spaces for Q-learning algorithms
Peyman Tavallali, Gary B. Doran, Lukas Mandrake
In this article, we sketch an algorithm that extends the Q-learning algorithms to the continuous action space domain. Our method is based on the discretization of the action space.…