www.cs.utexas.edu

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.
www.cs.utexas.edu

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 ...
www.cs.utexas.edu

CS 329E: Elements of Data Visualization - Spring 2026

Sangjun Park Email: sangjun at cs dot utexas dot edu Office Hours: Monday 11:00am – 12:00pm at GDC 1.302, TA Station Desk 5 (GDC basement) Wednesday 11:00am – 12:00pm at GDC 1.302, TA Station Desk 5 ...
www.cs.utexas.edu

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 ...
www.cs.utexas.edu

Telemoma: A Modular and Versatile Teleoperation System for Mobile Manipulation

A critical bottleneck limiting imitation learning in robotics is the lack ofdata. This problem is more severe in mobile manipulation, where collectingdemonstrations is harder than in stationary ...
www.cs.utexas.edu

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 ...
www.cs.utexas.edu

Mobile Computing with Android

For course videos, feel free to listen at 1.25x or 1.5x, the Global Speed controller plugin for Chrome gives you even more control Creating a simple Android app in Kotlin Screen Video (older, screen ...
www.cs.utexas.edu

Math / Physics Problem Solver

This program solves simple math and physics problems stated in English.
www.cs.utexas.edu

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 ...
www.cs.utexas.edu

David Soloveichik

David Soloveichik is an Associate Professor and holds the Temple Foundation Endowed Faculty Fellowship No.4 in the Chandra Family Department of Electrical & Computer Engineering at The University of ...
www.cs.utexas.edu

Multiagent Systems: A survey from a machine learning perspective

Multiagent Systems: A survey from a machine learning perspective. Peter Stone and Manuela Veloso. Autonomous Robots, 8(3):345–383, July 2000. @Article(MASsurvey, Author="Peter Stone and Manuela Veloso ...
www.cs.utexas.edu

CS388T: Theory of Computation (Spring 2016)

Final Exam: The final exam will be cumulative and held on Wednesday, May 11 from 2-5pm. No make-up exams will be given, so plan accordingly. You may bring a single, 8.5x11 inch, handwritten sheet of ...