Augmenting Automated Game Testing with Deep Reinforcement Learning

no code implementations • 29 Mar 2021 • Joakim Bergdahl, Camilo Gordillo, Konrad Tollmar, Linus Gisslén

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.

FPS Games reinforcement-learning +2

Improving Playtesting Coverage via Curiosity Driven Reinforcement Learning Agents

no code implementations • 25 Mar 2021 • Camilo Gordillo, Joakim Bergdahl, Konrad Tollmar, Linus Gisslén

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 properly identified and fixed.

reinforcement-learning Reinforcement Learning (RL)

Adversarial Reinforcement Learning for Procedural Content Generation

no code implementations • 8 Mar 2021 • Linus Gisslén, Andy Eakins, Camilo Gordillo, Joakim Bergdahl, Konrad Tollmar

We present a new approach ARLPCG: Adversarial Reinforcement Learning for Procedural Content Generation, which procedurally generates and tests previously unseen environments with an auxiliary input as a control variable.

reinforcement-learning Reinforcement Learning (RL)