4 citations · 4 across the 3 of their papers we have counts for
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cs.AI2026
Learning When to Trust in Contextual Social Bandits
Majid Ghasemi, Mark Crowley
Robust reinforcement learning typically assumes that feedback sources are either globally trustworthy or corrupted within a fixed global budget. We identify a more subtle failure m…
cs.AI2024★ 4 cited
A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges
Majid Ghasemi, Amir Hossein Moosavi, Dariush Ebrahimi
Reinforcement Learning (RL) has emerged as a powerful paradigm in Artificial Intelligence (AI), enabling agents to learn optimal behaviors through interactions with their environme…
cs.AI2024★ 7 cited
Introduction to Reinforcement Learning
Majid Ghasemi, Dariush Ebrahimi
Reinforcement Learning (RL), a subfield of Artificial Intelligence (AI), focuses on training agents to make decisions by interacting with their environment to maximize cumulative r…