Department of Computer Science - University of Texas at Austin

Peter Stone Delivers Keynote at the Association for the Advancement of Artificial Intelligence (AAAI) Conference

Peter Stone, Truchard Foundation Chair in Computer Science and Chair of the Department of Computer Science, presents the keynote “From How to Learn to What to Learn in Multiagent Systems and Robotics” ...
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

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

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

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

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

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 ...
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

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

Doug Burger

Interests: Computer architecture, reconfigurable logic, computing technologies, ubiquitous and wearable computing, privacy and personal data management, mobile devices, cloud services, datacenter ...
www.cs.utexas.edu

The Three Golden Rules for Successful Scientific Research.

This note is devoted to three rules, the following of which is necessary if you want to be successful in scientific research. (If you manage to follow them, they will prove close to sufficient, but ...
www.cs.utexas.edu

Outracing Champion Gran Turismo Drivers with Deep Reinforcement Learning

Abstract Many potential applications of artificial intelligence involve making real-time decisions in physical systems while interacting with humans. Automobile racing represents an extreme example of ...