Angry-HEX: an artificial player for angry birds based on declarative knowledge bases
This paper presents the Angry-HEX artificial intelligent agent that participated in the 2013
and 2014 Angry Birds Artificial Intelligence Competitions. The agent has been developed in …
and 2014 Angry Birds Artificial Intelligence Competitions. The agent has been developed in …
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 …
play new Angry Birds levels better than the best human players. This is surprisingly difficult …
Agent X: Improving Exploration vs Exploitation in the State of the Art Angry Birds AI
D Lutalo - 2022 IEEE Conference on Games (CoG), 2022 - ieeexplore.ieee.org
AI agents have successfully employed deep reinforcement learning methods to surpass
human performance in various new tasks over the past decade, notably including the …
human performance in various new tasks over the past decade, notably including the …
LangBirds: An agent for angry birds using a large language model
The game Angry Birds is a challenging problem for artificial intelligence in that it requires
physical reasoning ability. Previous approaches require domain knowledge or playing data …
physical reasoning ability. Previous approaches require domain knowledge or playing data …
The 2017 AIBIRDS competition
This paper presents an overview of the sixth AIBIRDS competition, held at the 26th
International Joint Conference on Artificial Intelligence. This competition tasked participants …
International Joint Conference on Artificial Intelligence. This competition tasked participants …
Gamers' Behaviour and Communication Analysis in Massively Multiplayer Online Games: A Survey
MH Rezvani, D Khabiri - 2018 2nd national and 1st …, 2018 - ieeexplore.ieee.org
Recent studies on social computing such as massively-multiplayer online games (MMOGs),
have attracted the attention of many researchers in the world. This emerging field has been …
have attracted the attention of many researchers in the world. This emerging field has been …
A bayesian ensemble regression framework on the Angry Birds game
N Tziortziotis, G Papagiannis… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
In this paper, we introduce AngryBER, an intelligent agent architecture on the Angry Birds
domain that employs a Bayesian ensemble inference mechanism to promote decision …
domain that employs a Bayesian ensemble inference mechanism to promote decision …
Creating a hyper-agent for solving angry birds levels
M Stephenson, J Renz - Proceedings of the AAAI Conference on …, 2017 - ojs.aaai.org
Over the past few years the Angry Birds AI competition has been held in an attempt to
develop intelligent agents that can successfully and efficiently solve levels for the video …
develop intelligent agents that can successfully and efficiently solve levels for the video …
[HTML][HTML] The computational complexity of Angry Birds
The physics-based simulation game Angry Birds has been heavily researched by the AI
community over the past five years, and has been the subject of a popular AI competition …
community over the past five years, and has been the subject of a popular AI competition …
Agent-based adaptive level generation for dynamic difficulty adjustment in angry birds
M Stephenson, J Renz - arXiv preprint arXiv:1902.02518, 2019 - arxiv.org
This paper presents an adaptive level generation algorithm for the physics-based puzzle
game Angry Birds. The proposed algorithm is based on a pre-existing level generator for this …
game Angry Birds. The proposed algorithm is based on a pre-existing level generator for this …