资讯
Researchers at The University of Texas at Austin and Cognizant AI Labs have developed an AI-driven system that leverages 175 ...
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 ...
Patrick MacAlpine and Peter Stone.
Transfer Learning for Reinforcement Learning Domains: A Survey. Matthew E. Taylor and Peter Stone. Journal of Machine Learning Research, 10(1):1633–1685, 2009.
Course web page: http://www.cs.utexas.edu/~ecprice/courses/randomized/fa23/ ...
I am an Associate Professor of Instruction in the Department of Computer Science.
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 ...
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 - ...
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 ...
UT Austin Villa RoboCup 3D Simulation Base Code Release. Patrick MacAlpine and Peter Stone. In Sven Behnke, Daniel D. Lee, Sanem Sariel, and Raymond Sheh, editors, RoboCup 2016: Robot Soccer World Cup ...
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 ...
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), ...
一些您可能无法访问的结果已被隐去。
显示无法访问的结果