3 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.LG2021
Improving Playtesting Coverage via Curiosity Driven Reinforcement Learning Agents
Camilo Gordillo, Joakim Bergdahl, Konrad Tollmar +1
As modern games continue growing both in size and complexity, it has become more challenging to ensure that all the relevant content is tested and that any potential issue is prope…
cs.LG2021
Adversarial Reinforcement Learning for Procedural Content Generation
Linus Gisslén, Andy Eakins, Camilo Gordillo +2
We present a new approach ARLPCG: Adversarial Reinforcement Learning for Procedural Content Generation, which procedurally generates and tests previously unseen environments with a…