Learning Agents
Director: Peter Stone
The learning agents research group is led by Prof. Peter Stone. Our aim is to understand how we can best create complete intelligent agents. We consider both adaptation and interaction to be essential capabilites of such agents. Thus, our research focuses mainly on machine learning, multiagent systems, and robotics. Application domains include robot soccer, autonomous bidding agents, traffic management, and autonomic computing.
People
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Mazda Ahmadi Patrick Beeson Doran Chakraborty Kurt Dresner Ian Fasel Todd Hester Nick Jong Tobias Jung Shivaram Kalyanakrishnan W. Bradley Knox
Publications
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Generalized Model Learning for Reinforcement Learning in Factored Domains (2009) The UT Austin Villa 3D Simulation Soccer Team 2008 (2009) An Empirical Analysis of Value Function-Based and Policy Search Reinforcement Learning (2009) Color Learning and Illumination Invariance on Mobile Robots: A Survey (2009) Learning Complementary Multiagent Behaviors: A Case Study (2009) Three Humanoid Soccer Platforms: Comparison and Synthesis (2009) An Empirical Comparison of Abstraction in Models of Markov Decision Processes (2009) Interactively Shaping Agents via Human Reinforcement: The TAMER Framework (2009) Compositional Models for Reinforcement Learning (2009) Feature Selection for Value Function Approximation Using Bayesian Model Selection (2009) Improving Particle Filter Performance Using SSE Instructions (2009) Transfer Learning for Reinforcement Learning Domains: A Survey (2009) Critical Factors in the Empirical Performance of Temporal Difference and Evolutionary Methods for Reinforcement Learning (2009) Generalized Domains for Empirical Evaluations in Reinforcement Learning (2009) Leading a Best-Response Teammate in an Ad Hoc Team (2009) Design Principles for Creating Human-Shapable Agents (2009) Inter-Classifier Feedback for Human-Robot Interaction in a Domestic Setting (2008) Multiagent Interactions in Urban Driving (2008) A Multiagent Approach to Autonomous Intersection Management (2008) Polynomial Regression with Automated Degree: A Function Approximator for Autonomous Agents (2008)
Projects
The UT Austin Villa Robot Soccer team The TacTex supply chain management autonomous trading agent AIM: Autonomous Intersection Management Autonomic computing
Areas of Interest
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Agent Modeling in Multiagent Systems Auctions Autonomic Computing Autonomous Driving Autonomous Traffic Management