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A reward function generation method using genetic algorithms: a robot soccer case study.

, , and . AAMAS, page 1513-1514. IFAAMAS, (2010)

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Introduction to autonomous mobile robotics using Lego Mindstorms NXT., , and . Computer Science Education, 23 (4): 368-386 (2013)RAISE 2014: Proceedings of the 3rd International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering, , , , and . New York, NY, USA, ACM, (2014)Special section on realizing artificial intelligence synergies in software engineering., and . Software Quality Journal, 25 (1): 231-233 (2017)Practical Extensions to Vision-Based Monte Carlo Localization Methods for Robot Soccer Domain., , , , and . RoboCup, volume 4020 of Lecture Notes in Computer Science, page 624-631. Springer, (2005)Guest Editorial Behavior Understanding and Developmental Robotics., , , and . IEEE Trans. Auton. Ment. Dev., 6 (2): 77-79 (2014)All Bids for One and One Does for All: Market-Driven Multi-agent Collaboration in Robot Soccer Domain., , , and . ISCIS, volume 2869 of Lecture Notes in Computer Science, page 529-536. Springer, (2003)Organizing Committee.. AAAI Fall Symposium: Robots Learning Interactively from Human Teachers, volume FS-12-07 of AAAI Technical Report, AAAI, (2012)Preface.. AAAI Fall Symposium: Robots Learning Interactively from Human Teachers, volume FS-12-07 of AAAI Technical Report, AAAI, (2012)Multi-humanoid world modeling in Standard Platform robot soccer., , , , and . Humanoids, page 424-429. IEEE, (2010)Better, faster, and cheaper: what is better software?, , and . PROMISE, page 11. ACM, (2010)