Yousef EmamiCurriculum Learning in Autonomous VehiclesCurriculum Learning (CL) is a Machine learning (ML) technique that structures the training process by starting with simpler tasks and…Sep 9Sep 9
Yousef EmamiHuman-In-The-Loop Reinforcement Learning in Autonomous VehiclesHuman-In-The-Loop Reinforcement Learning (HITL-RL) in Autonomous Vehicles (AVs) can be realized through reward shaping, human-initiated…Sep 8Sep 8
Yousef EmamiThe Unbiased Arbiter: Teaching Robots to Be Fair ModeratorsRecently, I read “Superintelligence: Paths, Dangers, Strategies” by Nick Bostrom. It argues that superintelligence, if created, would be…Jul 17Jul 17
Yousef EmamiMotivations of Using Deep Reinforcement Learning: An Autonomous Vehicle Case StudyDeep Reinforcement Learning (DRL) is a major branch of machine learning, where an agent learns to behave in an environment by performing…Jul 10Jul 10
Yousef EmamiCracking the Code: Publishing in IEEE TransactionsThe term “transactions” in the context of IEEE Transactions originates from early scholarly communication and professional societies…Jul 8Jul 8
Yousef EmamiAn Introduction to Mean Field Game: A 6G Use CaseIn classical game theory, each agent interacts individually with every other agent, which causes complications in systems with more than…Jul 22Jul 22
Yousef EmamiBias-Variance Trade-off in Reinforcement Learning: Monte Carlo vs Temporal DifferenceReinforcement Learning (RL) is a fascinating field of machine learning where agents learn to make decisions by interacting with an…Jun 21Jun 21
Yousef EmamiUAVs-assisted sensor networks: Principles and AdvantagesUAVs can operate in challenging and remote environments, making them ideal for aerial data collection. The integration of UAVs into sensor…Jun 19Jun 19
Yousef EmamiSignificance of UAVs in 5G and 6GUnmanned aerial vehicles (UAVs) have become indispensable in today’s technological advancements, bringing about significant changes in…Jun 19Jun 19