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Traditional reinforcement learning (RL) algorithms are purely data-driven and operate without any a priori knowledge about the nature of the available actions, the system’s state transition dynamics, and its cost/rewaAccelerating Reinforcement Learning in Emerging Wireless IoT Systems and Applications via System Awareness
Neurological and psychiatric disorders are dramatically increasing in prevalence due to aging population and social isolation. However, to date, there is no cure for any of the brain disorders.Can we fix the brain like we fix electronic circuits?
Glioblastoma are notoriously aggressive, malignant primary brain tumors that have variable response to treatment.Sex, Drugs and Radiomics of Brain Cancer
Holographic optics are an exciting tool to increase the performance and reduce the size and weight of augmented and virtual reality displays.Holographic optics for AR/VR
Laser cooling and evaporative cooling are the workhorse techniques that have revolutionized the control of atomic systems.Direct laser cooling of polyatomic molecules
We will discuss the segregation process of two immiscible substances (e.g., oil and water) that have been mixed together.A sharp interface limit in the Giacomin-Lebowitz model of phase segregation
Tor will give a whirlwind tour of a series of recent papers on the information directed sampling algorithm for sequential decision-making. The results come in three flavours.Information Directed Sampling
The minimax optimality of the Maximum Likelihood Estimator (MLE) is a fundamental question in mathematical statistics. For Donsker classes, it is well-known that the MLE is minimax optimal.On the minimax optimality of maximum likelihood in the non-Donsker regime
Join Dr. Charles Chu from TSMC for a virtual information session.Virtual Tech Talk