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 ...

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 ...

UT Austin Villa Publications • Sorted by Date • Classified by Publication Type • Classified by Topic • Sorted by First Author Last Name • Deep Reinforcement Learning in Parameterized Action Space.

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 ...

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 ...

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 ...

Imitation from observation (IfO) is the problem of learning directly from state-only demonstrations without having access to the demonstrator's actions.The lack of action information both ...

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 ...

To Teach or not to Teach? Decision Making Under Uncertainty in Ad Hoc Teams. Peter Stone and Sarit Kraus. In The Ninth International Conference on Autonomous Agents and Multiagent Systems (AAMAS), ...