Fig.1 - Rectified flow learns neural ODEs with straight trajectories for both generating (up two rows) and transferring (lower two rows) data, with a very small number \(N\) of Euler steps (even a ...

Teaching: I teach honors Computer Graphics, and a Physical Simulation graduate elective, every spring.See the course page for more details. Prospective Students: I am not actively looking to expand my ...

Grounded Action Transformation for Robot Learning in Simulation. Grounded Action Transformation for Robot Learning in Simulation. Josiah Hanna and Peter Stone. In Proceedings of the 31st AAAI ...

Artificial Intelligence and Life in 2030. Artificial Intelligence and Life in 2030. Peter Stone, Rodney Brooks, Erik Brynjolfsson, Ryan Calo, Oren Etzioni, Greg Hager, Julia Hirschberg, Shivaram ...

Though computers have surpassed humans at many tasks, especially computationally intensive ones, there are many tasks for which human expertise remains necessary and/or useful. For such tasks, it is ...

Design and Optimization of an Omnidirectional Humanoid Walk:A Winning Approach at the RoboCup 2011 3D Simulation Competition. Patrick MacAlpine, Samuel Barrett, Daniel Urieli, Victor Vu, and Peter ...

Step into the Academy for Women, where innovation meets empowerment. Our unique one-week program shapes the future of technology, focusing on the dynamic contributions of women in the field. Explore ...

Transfer Learning for Reinforcement Learning Domains: A Survey. Transfer Learning for Reinforcement Learning Domains: A Survey. Matthew E. Taylor and Peter Stone. Journal of Machine Learning Research, ...

The Department of Computer Science offers three integrated 5-year programs, which enables highly motivated students with strong academic records to earn a Bachelor of Science in Computer Science and a ...

Desiderata for Planning Systems in General-Purpose Service Robots. Desiderata for Planning Systems in General-Purpose Service Robots. Nick Walker, Yuqian Jiang, Maya Cakmak, and Peter Stone. In ...

Transfer Learning for Reinforcement Learning on a Physical Robot. Transfer Learning for Reinforcement Learning on a Physical Robot. Samuel Barrett, Matt E. Taylor, and Peter Stone. In Ninth ...

A critical bottleneck limiting imitation learning in robotics is the lack ofdata. This problem is more severe in mobile manipulation, where collectingdemonstrations is harder than in stationary ...