most citedComparing NARS and Reinforcement Learning: An Analysis of ONA and -Learning Algorithms

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.DC2026

Brief Announcement: Generative Markov Model for Distributed Computing Systems

Alfreds Lapkovskis, Ali Beikmohammadi, Sindri Magnússon +1

Emerging distributed computing paradigms, such as the computing continuum, are inherently heterogeneous, stochastic, and complex. Efficiently and effectively utilizing all availabl…

cs.LG2023★ 1 cited

Comparing NARS and Reinforcement Learning: An Analysis of ONA and -Learning Algorithms

Ali Beikmohammadi, Sindri Magnússon

In recent years, reinforcement learning (RL) has emerged as a popular approach for solving sequence-based tasks in machine learning. However, finding suitable alternatives to RL re…