David Pardoe and Peter Stone.

Abstract Reinforcement learning (RL) is a popular paradigm for addressing sequential decision tasks in which the agent has only limited environmental feedback. Despite many advances over the past ...

A Multiagent Approach to Autonomous Intersection Management. Kurt Dresner and Peter Stone.

Multiagent Systems: A survey from a machine learning perspective. Peter Stone and Manuela Veloso. Autonomous Robots, 8(3):345–383, July 2000. @Article(MASsurvey, Author="Peter Stone and Manuela Veloso ...

Conflict-Averse Gradient Descent for Multi-task learning. Bo Liu, Xingchao Liu, Xiaojie Jin, Peter Stone, and Qiang Liu.

A hallmark of intelligent agents is the ability to learn reusable skills purely from unsupervised interaction with the environment. However, existing unsupervised skill discovery methods often learn ...

UT Austin Villa, the award-winning robot soccer team from Texas Robotics, recently returned from Incheon, South Korea, where ...

Ritika Gunnar shares how a UT Computer Science degree led to a leadership role shaping the future of AI at IBM. She explains ...

PhD students Dongmyeong Lee and Zifan Xu prepare their child-sized humanoid robots before a match at RoboCup 2025 in Salvador, Brazil. In Brief UT Austin Villa, the award-winning robot soccer team ...

Experience programming, teamwork, and real-world applications in this week-long residential program for high school students. Choose from Arduino microcontrollers in the Standard Edition or Python in ...

In this academy, you’ll explore how data scientists analyze real-world data to uncover meaningful insights. Through hands-on projects, you’ll learn the fundamentals of data analysis and machine ...

The UT Austin Computer Science graduate program has again been recognized as top 10 in the country, according to the 2026–2027 U.S. News & World Report “Best Graduate Schools” rankings, released today ...