InteLLigence
 
CALR: Coordinated Action and Learning in RoboCup
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Contract Details
Programme Type: NATIONAL PROGRAMMES
Programme Acronym:
Contract Type: RESEARCH GRANTS (INDIVIDUAL FELLOWSHIPS)
Contract No: TUC ELKE 99624
Start Date: 2009-01-01
End Date: 2011-04-30
Project Status: completed
Budget for TUC: 12,000 euros
Role for TUC: prime
Principal Investigator for TUC: Michail G. Lagoudakis
Project Description
This research studies fundamental problems of robotics, machine learning, and artificial intelligence in the context of the international RoboCup competition for robotic soccer. In particular, it focuses on coordinated action and learning aiming at enabling better coordination among the team members.
Related Publications
  • Paraschos A., Spanoudakis N., Lagoudakis M.: Model-Driven Behavior Specification for Robotic Teams, Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Valencia, Spain, June 2012, pp. 171-178.
    Publication Type: Conference Publications [abstract] [link][file]
  • Pazis J., Lagoudakis M.: Binary Action Search for Learning Continuous-Action Control Policies, Proceedings of the 26th International Conference on Machine Learning (ICML), Montreal, Quebec, Canada, June 2009, pp. 793–800.
    [video of the presentation at ICML]
    Publication Type: Conference Publications [abstract] [link][file]