Deep Apprenticeship Learning for Playing Video Games

By Miroslav Bogdanovic, Dejan Markovikj, Misha Denil, Nando de Freitas. 2015

20 citations recorded by the source corpus.

How researchers see this paper

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

1. Sebastian Risi
2. Niels Justesen
3. Kenneth O. Stanley
4. Joel Lehman
5. Andrea Soltoggio
6. Paul Tonelli
7. Oliver J. Coleman
8. Jean-Baptiste Mouret

Citations in the corpus

• Learning macromanagement in starcraft from replays using deep learning (2017, methodology): “arning. Also worth mentioning is a technique known as imitation learning, in which a policy is trained to imitate human players. Imitation learning has been applied to Super Mario [3] and Atari games [2]. These results suggest that learning to play games from human traces is a promising approach tha”