This book looks at multiagent systems that consist of teams of autonomous agents acting in real-time, noisy, collaborative, and adversarial environments. The book makes four main contributions to the ...

The UT Programming Team consists of Trung Dang (coach) and teammates Aaryan Prakash, Mark Wen, and Dylan Smith from left to ...

As computational learning agents move into domains that incur real costs (e.g., autonomous driving or financial investment), it will be necessary to learn good policies without numerous high-cost ...

A UT Austin-led research team is developing AI-assisted tools to dramatically accelerate and simplify the design of radio frequency integrated circuits (RFICs)—a foundational technology for next-gen ...