Roberto Martin-Martin is an Assistant Professor of Computer Science at UT Austin. His research bridges robotics, computer ...
To support the department’s leadership, Associate Professor Etienne Vouga has been appointed Vice Chair. Both Dillig and ...
BibTeX Entry @InProceedings {SDMIA15-Hausknecht, author = {Matthew Hausknecht and Peter Stone}, title = {Deep Recurrent Q-Learning for Partially Observable MDPs}, booktitle = {AAAI Fall Symposium on ...
Transfer Learning for Reinforcement Learning Domains: A Survey. Matthew E. Taylor and Peter Stone. Journal of Machine Learning Research, 10(1):1633–1685, 2009.
A critical bottleneck limiting imitation learning in robotics is the lack of data. This problem is more severe in mobile manipulation, where collecting demonstrations is harder than in stationary ...
David Pardoe and Peter Stone.
Austin Robot Technology's (ART's) entry in the DARPA Urban Challenge has two main goals. First and foremost,the team aims to create a fully autonomous vehicle that is capable of safely and robustly ...
Recent work has shown that deep neural networks are capable of approximating both value functions and policies in reinforcement learning domains featuring continuous state and action spaces. However, ...
Learning to Interpret Natural Language Commands through Human-Robot Dialog. Jesse Thomason, Shiqi Zhang, Raymond Mooney, and Peter Stone. In Proceedings of the 2015 International Joint Conference on ...
Zifan Xu, Myoungkyu Seo, Dongmyeong Lee, Hao Fu, Jiaheng Hu, Jiaxun Cui, Yuqian Jiang, Zhihan Wang, Anastasiia Brund, Joydeep Biswas, and Peter Stone. Learning Agile Striker Skills for Humanoid Soccer ...
Adjunct Assistant Professor Anshul Moondra is an Adjunct Assistant Professor of Computer Science at The University of Texas at Austin, where he teaches Principles of Machine Learning. He earned a B.S.
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