Reinforcement learning for game-testing
As game worlds grow more vast and complex, making sure they are playable and bug-free is becoming increasingly difficult for developers. And gaming companies are looking for new tools, including artificial intelligence, to help overcome the mounting challenge of testing their products.
A new paper by a group of AI researchers at Electronic Arts shows that deep reinforcement learning agents can help test games and make sure they are balanced and solvable.
“Adversarial Reinforcement Learning for Procedural Content Generation,” the technique presented by the EA researchers, is a novel approach that addresses some of the shortcomings of previous AI methods for testing games.
Read the full article on TechTalks.
For more on reinforcement learning: