论文信息 - The Angry Birds AI Competition

The Angry Birds AI Competition

The aim of the Angry Birds AI competition (AIBIRDS) is to build intelligent agents that can play new Angry Birds levels better than the best human players. This is surprisingly difficult for AI as it requires similar capabilities to what intelligent systems need for successfully interacting with the physical world, one of the grand challenges of AI. As such the competition offers a simplified and controlled environment for developing and testing the necessary AI technologies, a seamless integration of computer vision, machine learning, knowledge representation and reasoning, reasoning under uncertainty, planning, and heuristic search, among others. Over the past three years there have been significant improvements, but we are still a long way from reaching the ultimate aim and, thus, there are great opportunities for participants in this competition.

[1] Konstantinos Blekas,et al. A Bayesian Ensemble Regression Framework on the Angry Birds Game , 2016, IEEE Transactions on Computational Intelligence and AI in Games.

[2] Michael Fink,et al. Angry-HEX: An Artificial Player for Angry Birds Based on Declarative Knowledge Bases , 2016, IEEE Transactions on Computational Intelligence and AI in Games.

[3] Peng Zhang,et al. Qualitative Spatial Representation and Reasoning in Angry Birds: The Extended Rectangle Algebra , 2014, KR.

[4] Przemyslaw Andrzej Walega,et al. Qualitative Physics in Angry Birds , 2016, IEEE Transactions on Computational Intelligence and AI in Games.

[5] Michał Zawidzki,et al. Qualitative Physics in Angry Birds : first results , 2014 .

[6] Mihai Polceanu,et al. Towards A Theory-Of-Mind-Inspired Generic Decision-Making Framework , 2014, ArXiv.

[7] Jude Shavlik,et al. An Empirical Evaluation of Machine Learning Approaches for Angry Birds , .