Peter Stone http://www.cs.utexas.edu/~pstone
Professor
My main research interest in artificial intelligence is understanding how we can best create complete intelligent agents. I consider both adaptation and interaction to be essential capabilites of such agents. Thus, my research focuses mainly on machine learning and multiagent systems. Application domains include robot soccer, autonomous bidding agents, traffic management, and autonomic computing.
- Office:
- TAY 4.122
- Email:
- pstone [at] cs utexas edu
Is a member of:
Recent publications:
- Design Principles for Creating Human-Shapable Agents
- Leading a Best-Response Teammate in an Ad Hoc Team
- Generalized Domains for Empirical Evaluations in Reinforcement Learning
- Critical Factors in the Empirical Performance of Temporal Difference and Evolutionary Methods for Reinforcement Learning
- Transfer Learning for Reinforcement Learning Domains: A Survey
- See all publications by Peter Stone