Artificial Intelligence and Life in 2030. Peter Stone, Rodney Brooks, Erik Brynjolfsson, Ryan Calo, Oren Etzioni, Greg Hager, Julia Hirschberg, Shivaram Kalyanakrishnan, Ece Kamar, Sarit Kraus, Kevin ...

Patrick MacAlpine and Peter Stone ...

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, ...

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, ...

Current approaches to learning cooperative multi-agent behaviors assumerelatively restrictive settings. In standard fully cooperative multi-agentreinforcement learning, the learning algorithm controls ...

Relaxed Exploration Constrained Reinforcement Learning Relaxed Exploration Constrained Reinforcement Learning. Shahaf S. Shperberg, Bo Liu, and Peter Stone. In Conference on Autonomous Agents and ...

Big news from UTCS: With renewed funding from the National Science Foundation, IFML researchers are expanding their work to make AI more accurate, reliable, and ready for the real world. This critical ...

I am an Associate Professor of Instruction in the Department of Computer Science. I did my undergraduate work at Purdue and Illinois and my graduate work at MIT, Stanford, and Texas. I have worked at ...

Welcome to C S 429 Computer Organization and Architecture. Let's get started. 1 Why Am I Taking This Course? 2 Course Logistics 3 What Will I Learn in This Course? 4 How Will We Communicate in This ...

Qixing Huang is an associate professor of Computer Science at the University of Texas at Austin. He obtained his PhD in Computer Science from Stanford University. He was a research assistant professor ...