About This Episode
Today we’re joined by Konrad Tollmar, research director at Electronic Arts and an associate professor at KTH. In our conversation, we explore his role as the lead of EA’s applied research team SEED and the ways that they’re applying ML/AI across popular franchises like Apex Legends, Madden and FIFA. We break down a few papers focused on the application of ML to game testing, discussing why deep reinforcement learning is at the top of their research agenda, the differences between training atari games and modern 3D games, using CNNs to detect glitches in games, and of course, Konrad gives us his outlook on the future of ML for games training.
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- Paper: Improving Playtesting Coverage via Curiosity Driven Reinforcement Learning Agents
- Paper: Augmenting Automated Game Testing with Deep Reinforcement Learning
- Thesis: Graphical Glitch Detection in Video Games Using Convolutional Neural Networks
- Paper: Adversarial Reinforcement Learning for Procedural Content Generation