About the talk
Reinforcement learning promises powerful game AI, but making it production-ready is another story. This talk shares Riot’s lessons from working at the intersection of research and live games—where safety, evaluation, and reliability matter as much as raw performance. We’ll highlight common failure modes, suggest ways to manage variance and telemetry, and offer ideas for how RL can be applied responsibly in production. Along the way, we’ll reflect on what’s realistic today versus what remains hype, and how to get real value out of RL without overpromising.