Obtaining the Sources and Community Books Obtain the sources and place them in directory dir as follows. (First, a note for Windows users only: we suggest that you obtain a Unix-like environment or, ...

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 ...

N-Agent Ad Hoc Teamwork. N-Agent Ad Hoc Teamwork. Caroline Wang, Arrasy Rahman, Ishan Durugkar, Elad Liebman, and Peter Stone. In Conference on Neural Information Processing Systems (NeurIPS), ...

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 ...

Robustly cooperating with unseen agents and human partners presents significantchallenges due to the diverse cooperative conventions these partners may adopt.Existing Ad Hoc Teamwork (AHT) methods ...

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), ...

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 ...

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.

General-purpose service robots are expected to undertake a broad range of tasks at the request of users. Knowledge representation and planning systems are essential to flexible autonomous robots, but ...

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 ...