Computing Across Disciplines is a three-part series on cross-campus programs combining computer science with other fields of ...

Third-year doctoral student, Jiaheng Hu is one of two recipients selected for a Ph.D. fellowship with Two Sigma, a New ...

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 ...

Transfer Learning for Reinforcement Learning Domains: A Survey. Matthew E. Taylor and Peter Stone. Journal of Machine Learning Research, 10(1):1633–1685, 2009.

Multiagent Traffic Management: A Reservation-Based Intersection Control Mechanism. Kurt Dresner and Peter Stone. In The Third International Joint Conference on Autonomous Agents and Multiagent Systems ...

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 ...

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 ...

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 ...

Write a code generator, using as input the intermediate code produced by your parser (the previous assignment). We will assume that the target machine is x86-64. (On the lab machines, you can enter ...

Course web page: http://www.cs.utexas.edu/~ecprice/courses/randomized/fa23/ ...