4 citations · 4 across the 2 of their papers we have counts for
4 papers
Training and Evaluating Ethical Reinforcement Learning Agents on Per-Episode Distributions
Prabhjyot Singh, Majid Ghasemi, Mark Crowley
Reinforcement Learning (RL) agents trained on a single reward signal exploit the gap between the designed reward and the intended behavior. This is particularly a problem when we a…
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…
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…
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…