Abstract: Sequential decision making under uncertainty mathematically captures the challenge of choosing actions at each step, while accounting for potential rewards and uncertainties an agent may ...

Transformer architectures have facilitated the development of large-scale and general-purpose sequence models for prediction tasks in natural language processing and computer vision, e.g., GPT-3 and ...

The National Science Foundation awarded Lu Zhang, assistant professor of computer science and computer engineering at the U of A, with a prestigious Faculty Early Career Development award to support ...

By modeling the single-trial electroencephalogram of participants performing perceptual decisions, and building on predictions from two century-old psychological laws, we estimate the times of ...

Pricing continues to be one of the most crucial decisions retailers face. Set prices too high, and customers drift away; too low, and profit margins suffer. Traditional pricing approaches typically ...

The difference between sequential decision-making tasks and prediction tasks, such as CV and NLP. (a) A sequential decision-making task is a cycle of agent, task, and world, connected by interactions.