2 citations · 3 across the 4 of their papers we have counts for
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cs.AI2025
HAVA: Hybrid Approach to Value-Alignment through Reward Weighing for Reinforcement Learning
Kryspin Varys, Federico Cerutti, Adam Sobey +1
Our society is governed by a set of norms which together bring about the values we cherish such as safety, fairness or trustworthiness. The goal of value-alignment is to create age…
cs.AI2024★ 2 cited
Combinatorial Client-Master Multiagent Deep Reinforcement Learning for Task Offloading in Mobile Edge Computing
Tesfay Zemuy Gebrekidan, Sebastian Stein, Timothy J. Norman
Recently, there has been an explosion of mobile applications that perform computationally intensive tasks such as video streaming, data mining, virtual reality, augmented reality,…