Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
Angry Birds as a Challenge for Artificial Intelligence
Authors: Jochen Renz, XiaoYu Ge, Rohan Verma, Peng Zhang
AAAI 2016 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | The Angry Birds AI Competition has been held annually since 2012... We also summarise some highlights of past competitions, including a new competition track we introduced recently. After each AI competition, we hold a Man vs Machine Challenge to test if AI agents are already better than humans. In previous competitions, humans always won with a wide, but shrinking margin. In 2013, half of human participants were better than the best AI, while in 2014 it was a third. |
| Researcher Affiliation | Academia | Jochen Renz Xiao Yu Ge, Rohan Verma, Peng Zhang Research School of Computer Science The Australian National University EMAIL |
| Pseudocode | No | The paper does not contain any pseudocode or clearly labeled algorithm blocks. |
| Open Source Code | No | The paper mentions that 'Starting in 2014, the best teams have made the source code of their agents available' for the competition, but it does not provide open-source code for any methodology presented by the authors of this paper. |
| Open Datasets | No | The paper refers to 'Angry Birds levels' as the basis for the competition, but it does not provide concrete access information (link, DOI, formal citation) for a publicly available or open dataset of these levels for research purposes. |
| Dataset Splits | No | The paper describes a competition involving 'new Angry Birds levels' but does not specify any training, validation, or test dataset splits. |
| Hardware Specification | No | The paper does not provide specific details about the hardware used for running experiments. |
| Software Dependencies | No | The paper mentions 'Box2D' as a game internal physics engine, but it does not provide specific ancillary software details with version numbers for any experimental setup. |
| Experiment Setup | No | The paper describes the competition and various AI approaches, but it does not provide specific experimental setup details such as hyperparameter values or training configurations. |