2 papers
cs.LG2021
Augmenting Automated Game Testing with Deep Reinforcement Learning
Joakim Bergdahl, Camilo Gordillo, Konrad Tollmar +1
General game testing relies on the use of human play testers, play test scripting, and prior knowledge of areas of interest to produce relevant test data. Using deep reinforcement…
cs.AI2018
Imitation Learning with Concurrent Actions in 3D Games
Jack Harmer, Linus Gisslén, Jorge del Val +5
In this work we describe a novel deep reinforcement learning architecture that allows multiple actions to be selected at every time-step in an efficient manner. Multi-action polici…