Technology Readiness Levels for Machine Learning Systems

1 code implementation • 11 Jan 2021 • Alexander Lavin, Ciarán M. Gilligan-Lee, Alessya Visnjic, Siddha Ganju, Dava Newman, Atılım Güneş Baydin, Sujoy Ganguly, Danny Lange, Amit Sharma, Stephan Zheng, Eric P. Xing, Adam Gibson, James Parr, Chris Mattmann, Yarin Gal

The development and deployment of machine learning (ML) systems can be executed easily with modern tools, but the process is typically rushed and means-to-an-end.

BIG-bench Machine Learning

AAAI-2019 Workshop on Games and Simulations for Artificial Intelligence

no code implementations • 6 Mar 2019 • Marwan Mattar, Roozbeh Mottaghi, Julian Togelius, Danny Lange

This volume represents the accepted submissions from the AAAI-2019 Workshop on Games and Simulations for Artificial Intelligence held on January 29, 2019 in Honolulu, Hawaii, USA.

Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning

3 code implementations • 4 Feb 2019 • Arthur Juliani, Ahmed Khalifa, Vincent-Pierre Berges, Jonathan Harper, Ervin Teng, Hunter Henry, Adam Crespi, Julian Togelius, Danny Lange

Unlike other benchmarks such as the Arcade Learning Environment, evaluation of agent performance in Obstacle Tower is based on an agent's ability to perform well on unseen instances of the environment.

Atari Games Board Games

Unity: A General Platform for Intelligent Agents

56 code implementations • 7 Sep 2018 • Arthur Juliani, Vincent-Pierre Berges, Ervin Teng, Andrew Cohen, Jonathan Harper, Chris Elion, Chris Goy, Yuan Gao, Hunter Henry, Marwan Mattar, Danny Lange

Recent advances in artificial intelligence have been driven by the presence of increasingly realistic and complex simulated environments.

Unity