A video game description language for model-based or interactive learning

By Tom Schaul. 2013

242 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Sociology and Political Science

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Matthew J. Hausknecht
2. Sergey Levine
3. Sebastian Risi
4. Jeff Clune
5. Kenneth O. Stanley
6. J. Urgen Schmidhuber
7. Joel Lehman
8. Shimon Whiteson

In Sociology and Political Science

1. Sebastian Risi
2. Risto Miikkulainen
3. Joel Lehman
4. Philip Bontrager
5. Ahmed Khalifa
6. Peter Stone
7. Karthik Narasimhan
8. Ruben Rodriguez Torrado

Citations in the corpus

• 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].”
• Grounding Language for Transfer in Deep Reinforcement Learning (2017, methodology): “8 In addition to prespecified games, the framework supports the creation of new games using the Py-VGDL description language (Schaul, 2013).”
• The 2014 General Video Game Playing Competition (2016, unknown): “…versions of classic games For more detailed descriptions and possible uses of the language , we refer the interested reader to the report in which the initial ideas were laid out [19], and a follow-up paper [20] that fleshes them out, and includes a prototype written in Python (py-vgdl).”
• Deep Transfer in Reinforcement Learning by Language Grounding (2017, unknown): “5 In addition to pre-specified games, the framework supports the creation of new games using the Py-VGDL description language (Schaul, 2013).”
• Illuminating Generalization in Deep Reinforcement Learning through Procedural Level Generation (2018, methodology): “There are currently over 160 games in GVG-AI which are specified using the declarative video game description language (VGDL) [31], originally proposed in [10].”
• A Neuroevolution Approach to General Atari Game Playing (2014, background): “Recently, there has been a push to bring GGP into the realm of video games [27], creating the area of GVGP [28], [36].”
• Computational Intelligence in Games : The General Video Game AI Competition (2015, background): “Schaul [8] depicts how our game environment is built up.”