Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
CS Freiburg: Doing the Right Thing in a Group
RoboCup 2000: Robot Soccer World Cup IV
Improved Algorithms for Optimal Winner Determination in Combinatorial Auctions and Generalizations
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Robust recognition of physical team behaviors using spatio-temporal models
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Accelerating autonomous learning by using heuristic selection of actions
Journal of Heuristics
RoboCup 2006: Robot Soccer World Cup X
Heuristic Reinforcement Learning Applied to RoboCup Simulation Agents
RoboCup 2007: Robot Soccer World Cup XI
Feature selection for activity recognition in multi-robot domains
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
Transfer Learning for Reinforcement Learning Domains: A Survey
The Journal of Machine Learning Research
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This paper presents a Multi-Robot Task Allocation (MRTA) system, implemented on a RoboCup Small Size League team, where robots participate of auctions for the available roles, such as attacker or defender, and use Heuristically Accelerated Reinforcement Learning to evaluate their aptitude to perform these roles, given the situation of the team, in real-time. The performance of the task allocation mechanism is evaluated and compared in different implementation variants, and results show that the proposed MRTA system significantly increases the team performance, when compared to pre-programmed team behavior algorithms.