Department of Computer Science - University of Texas at Austin

Academy for Data Science Research

In this academy, you’ll explore how data scientists analyze real-world data to uncover meaningful insights. Through hands-on projects, you’ll learn the fundamentals of data analysis and machine ...
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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, 10(1):1633–1685, 2009.
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Glenn Downing

I am an Associate Professor of Instruction in the Department of Computer Science.
www.cs.utexas.edu

CS 375: Parser for Pascal

Write a parser for the Pascal language (as defined by Jensen and Wirth, 2nd ed.), producing intermediate code trees as output. Your parser does not have to handle the following Pascal constructs: with ...
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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 International Conference on Autonomous Agents and Multiagent Systems ...
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Deep Reinforcement Learning in Parameterized Action Space

Recent work has shown that deep neural networks are capable ofapproximating both value functions and policies in reinforcementlearning domains featuring continuous state and actionspaces. However, to ...
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Vision Calibration and Processing on a Humanoid Soccer Robot

In RoboCup, the problem of quickly and accurately processing visual data continues to pose a significant challenge. The Aldebaran Nao, currently used by the Standard Platform League, has two cameras ...
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Mingyuan Zhou

Mingyuan Zhou joined The University of Texas at Austin faculty in 2013 as an assistant professor. He has served as the 2018–2019 treasurer of the Bayesian Nonparametrics Section of the International ...
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Amy Zhang

Amy Zhang is an assistant professor and Texas Instruments/Kilby Fellow in the Department of Electrical and Computer Engineering at UT Austin starting Spring 2023 and an affiliate member of the Texas ...
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A collective AI via lifelong learning and sharing at the edge

One vision of a future artificial intelligence (AI) is where many separate unitscan learn independently over a lifetime and share their knowledge with eachother. The synergy between lifelong learning ...
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Deep Recurrent Q-Learning for Partially Observable MDPs

Deep Recurrent Q-Learning for Partially Observable MDPs Deep Recurrent Q-Learning for Partially Observable MDPs. Matthew Hausknecht and Peter Stone. In AAAI Fall Symposium on Sequential Decision ...
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Learning to Interpret Natural Language Commands through Human-Robot Dialog

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 ...