News

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ACM Recognizes Peter Stone’s Impact on AI, Intelligent Robotics, and Autonomous Agents
Peter Stone, UTCS Professor and Director of Texas Robotics, earned the ACM - AAAI Allen Newell Award for his significant contributions in machine learning and artifical intelligence. Peter Stone, ...
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Overlapping Layered Learning
Patrick MacAlpine and Peter Stone.
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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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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 ...
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UTPC: Programming Contests at UT
Programming Contests at UT is a chapter of the ICPC: International Collegiate Programming Contest. The International Collegiate Programming Contest is an algorithmic programming contest for college ...
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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 International Conference on Autonomous Agents and Multiagent Systems - ...
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TEXPLORE: Real-Time Sample-Efficient Reinforcement Learning for Robots
TEXPLORE: Real-Time Sample-Efficient Reinforcement Learning for Robots. Todd Hester and Peter Stone. Machine Learning, 90(3):385–429, 2013.
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To Teach or not to Teach? Decision Making Under Uncertainty in Ad Hoc Teams
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), ...
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TAMER: Training an Agent Manually via Evaluative Reinforcement
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 ...
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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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Grounded Action Transformation for Robot Learning in Simulation
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 ...
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Design and Optimization of an Omnidirectional Humanoid Walk:A Winning Approach at the RoboCup 2011 3D Simulation Competition
Design and Optimization of an Omnidirectional Humanoid Walk:A Winning Approach at the RoboCup 2011 3D Simulation Competition. Patrick MacAlpine, Samuel Barrett, Daniel Urieli, Victor Vu, and Peter ...