Florian Fuchs

Automated testing with RAID uncovers diverse scoring exploits in NHL 26 that rival human playtesters, slashing testing time and costs.

Users can now exert real-time control over AI agent behaviors, seamlessly blending style with task performance in complex domains.

LLMs can effectively coordinate multi-agent strategies, achieving human-like adaptability without manual rule crafting.

Game AI can evolve from frustratingly simplistic to genuinely immersive through the strategic application of deep reinforcement learning.