Multiagent Systems
As autonomous agents proliferate in the real world, it becomes increasingly important to consider their interactions. Distinct agents may be teammates, opponents, or have unrelated goals. Game theory is a powerful tool for considering relatively small-scale interactions. Different tools are needed for more complex systems.
People
Erkin Bahceci Ph.D. Student erkin@cs.utexas.edu
Jacob Schrum Ph.D. Student schrum2@cs.utexas.edu
Peter Stone Professor pstone@cs.utexas.edu
Publications (27)
A Platform for Evaluating Autonomous Intersection Management Policies 2012
Chien-Liang Fok and Maykel Hanna and Seth Gee and Tsz-Chiu Au and Peter Stone and Christine Julien and Sriram Vishwanath
Accelerating Evolution via Egalitarian Social Learning 2012
Wesley Tansey, Eliana Feasley, and Risto Miikkulainen
An Analysis Framework for Ad Hoc Teamwork Tasks 2012
Samuel Barrett and Peter Stone
Learning Teammate Models for Ad Hoc Teamwork 2012
Samuel Barrett and Peter Stone and Sarit Kraus and Avi Rosenfeld
Ad Hoc Teamwork Modeled with Multi-armed Bandits: An Extension to Discounted Infinite Rewards 2011
Samuel Barrett and Peter Stone
Comparing Agents: Success against People in Security Domains 2011
Raz Lin and Sarit Kraus and Noa Agmon and Samuel Barrett and Peter Stone
Dynamic Lane Reversal in Traffic Management 2011
Matthew Hausknecht and Tsz-Chiu Au and Peter Stone and David Fajardo and Travis Waller
Empirical Evaluation of Ad Hoc Teamwork in the Pursuit Domain 2011
Samuel Barrett and Peter Stone and Sarit Kraus
Enforcing Liveness in Autonomous Traffic Management 2011
Tsz-Chiu Au and Neda Shahidi and Peter Stone
Evolving Multimodal Networks for Multitask Games 2011
Jacob Schrum and Risto Miikkulainen
Flood Disaster Mitigation: A Real-world Challenge Problem for Multi-Agent Unmanned Surface Vehicles 2011
Paul Scerri and Balajee Kannan and Pras Velagapudi and Kate Macarthur and Peter Stone and Matthew E. Taylor and John Dolan and Alessandro Farinelli and Archie Chapman and Bernadine Dias and George Kantor
Multiagent Patrol Generalized to Complex Environmental Conditions 2011
Noa Agmon and Daniel Urieli and Peter Stone
Role-Based Ad Hoc Teamwork 2011
Katie Genter and Noa Agmon and Peter Stone
Evolving Multi-modal Behavior in NPCs 2009
Jacob Schrum and Risto Miikkulainen
Constructing Complex NPC Behavior via Multi-Objective Neuroevolution 2008
Jacob Schrum and Risto Miikkulainen
Online Multiagent Learning against Memory Bounded Adversaries 2008
Doran Chakraborty and Peter Stone
Learning and Multiagent Reasoning for Autonomous Agents 2007
Peter Stone
Multiagent learning is not the answer. It is the question 2007
Peter Stone
Sharing the Road: Autonomous Vehicles meet Human Drivers 2007
Kurt Dresner and Peter Stone
Human-Usable and Emergency Vehicle-Aware Control Policies for Autonomous Intersection Management 2006
Kurt Dresner and Peter Stone
A Polynomial-time Nash Equilibrium Algorithm for Repeated Games 2005
Michael L. Littman and Peter Stone
Multiagent Traffic Management: An Improved Intersection Control Mechanism 2005
Kurt Dresner and Peter Stone
Multiagent Traffic Management: A Reservation-Based Intersection Control Mechanism 2004
Kurt Dresner and Peter Stone
Multiagent Competitions and Research: Lessons from RoboCup and TAC 2003
Peter Stone
The RoboCup Soccer Server and CMUnited Clients: Implemented Infrastructure for MAS Research 2003
Itsuki Noda and Peter Stone
Multiagent Systems: A survey from a machine learning perspective 2000
Peter Stone and Manuela Veloso
Task Decomposition, Dynamic Role Assignment, and Low-Bandwidth Communication for Real-Time Strategic Teamwork 1999
Peter Stone and Manuela Veloso
Projects
Autonomous Intersection Management (AIM) 2004 - Present
Demos
Fitness-based Shaping in Multi-objective DomainsJacob Schrum2010
Simulated RoboCup Soccer2004
Autonomous Intersection Management (AIM)
Labs
Learning Agents