Grounded Action Transformation for Robot Learning in Simulation. Josiah Hanna and Peter Stone. @InProceedings{AAAI17-Hanna, author = {Josiah Hanna and Peter Stone}, title = {Grounded Action ...

Mobile Robot Planning using Action Language BC with an Abstraction Hierarchy. Shiqi Zhang, Fangkai Yang, Piyush Khandelwal, and Peter Stone. In Proceedings of the 13th International Conference on ...

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 ...

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 ...

- C. Aggarwal (2018). Neural Networks and Deep Learning. New York: Springer. (required). - Various research papers (some required, some optional). The textbook will be available electronically through ...

Raw Data: Preprocess and transform raw data into something usable - data wrangling or data cleaning. Mapping Data for Visualization: map the clean data onto a specific visual representation. Rendering ...

Data Visualization starts with raw data that has to be preprocessed before it can be rendered. Data can be of many forms. It can be gathered from one or many sources. It could real or synthetic ...

VISOR is a large connectionist system that shows how visual schemas can be learned, represented, and used through mechanisms natural to neural networks. Processing in VISOR is based on cooperation, ...

Our students and faculty are changing the world through their contributions to computing education, research, and industry. These awards received by members of the UT Computer Science community make ...

The subdirectory cli-notes contains a few members of the Internal Notes series of Computational Logic, Inc. These are exactly the internal notes referenced in the second edition of A Computational ...

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