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 ...

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 ...

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, ...

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 ...

Relaxed Exploration Constrained Reinforcement Learning. Relaxed Exploration Constrained Reinforcement Learning. Shahaf S. Shperberg, Bo Liu, and Peter Stone. In Conference on Autonomous Agents and ...

Reasoning about Hypothetical Agent Behaviours and their Parameters. Reasoning about Hypothetical Agent Behaviours and their Parameters. Stefano Albrecht and Peter Stone. In Proceedings of the 16th ...

Deep Reinforcement Learning in Parameterized Action Space. Deep Reinforcement Learning in Parameterized Action Space. Matthew Hausknecht and Peter Stone. In Proceedings of the International Conference ...