FacultyAffiliated FacultyResearch Associates Graduate Students

 

Peter Stone

Office:

Taylor 4.122

Email:

pstone@cs.utexas.edu

Homepage:

cs.utexas.edu/users/pstone/

Projects

UT Austin Villa Robocup

Robotic soccer is an example of a real-time, multiagent collaborative and adversarial domain. In this context, we are studying multiagent techniques in reinforcement learning, specifically temporal difference learning, for learning successful policies by a team of cooperating
agents. We are creating RoboCup
teams in both simulation and with legged robots.

Autonomous Bidding Agents

Auctions can be viewed as a decentralized protocol for decision-making among groups of self-iterested agents. In this context we are investigating adaptive bidding policies that are applicable for
simultaneous multi-round auctions involving interacting goods. We
test our algorithms in various auction domains, including the
Trading Agent Competition (TAC).

Courses

CS 395T

Multi-Robot systems: Robotic Soccer with Legged Robots, Spring 2003

CS 378

Autonomous Multiagent Systems, Spring 2004

Selected Publications

Multiagent Systems: A Survey from a Machine LearningPerspective

Layered Learning in Multi-Agent Systems: A Winning Approach to Robotic Soccer

ATTac-2000: An adaptive autonomous agent

A Social Reinforcement Learning Agent

Concurrent Layered Learning