The 2014 General Video Game Playing Competition

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StarCraft II: A New Challenge for Reinforcement Learning (2017, neutral): “The ALE is a prominent example in a rich tradition of video game benchmarks for AI [30], including Super Mario [35], Ms Pac-Man [26], Doom [13], Unreal Tournament [11], as well as general video game-playing frameworks [29, 5] and competitions [23].”
Text-based adventures of the golovin AI agent (2017, background): “erministic games with full information [5], and its extensions (GDL-II [6] and rtGDL [7]). The second one is the General Video Game AI framework (GVGAI) from 2014, which focuses on arcade video games [8]. In contrast to Stanford’s GGP agents are provided with the forward game model instead of the ga”
The Malmo Platform for Artificial Intelligence Experimentation (2016, background): “The General Video Game Playing Competition [Perez et al. , 2015] is an ongoing AI challenge series that builds on a set of computer games that is similar in spirit to the ALE set, but supports larger state spaces and the development of novel games.”
An Introduction to Deep Reinforcement Learning (2018, unknown): “The General Video Game AI (GVGAI) competition framework (Perez-Liebana et al., 2016) was created and released with the purpose of providing researchers a platform for testing and comparing their algorithms on a large variety of games and under different constraints.”