Скачать или смотреть Goodbye Scripted Events: The Rise of 'Reinforcement Learning' in Gaming

We all know the feeling: You act like a master assassin, but the enemy guard just walks into a wall. 🧱🤦‍♂️ Why does this happen?

In this video, we explore the massive shift happening in game development right now. We explain why the old "Finite State Machines" made characters stupid, and how new technologies like "Goal-Oriented Action Planning" and "Generative AI" are creating digital characters that don't just follow a script—they actually learn, adapt, and improvise.
.
【Key Takeaways in this Video】
1. The Old Way: Finite State Machines (The Flowchart) 📉
• For 40 years, NPCs haven't been "thinking"; they've just been following rigid If/Then rules written by hand.
• The Problem: If a player does something the programmer didn't predict (like standing on a table), the NPC breaks because there is no rule for it.
2. The New Logic: GOAP (Goal-Oriented Action Planning) 🎯
• Instead of writing specific rules, developers give the AI a Goal (e.g., "Survive") and a Toolbox (Attack, Hide, Flank).
• The AI creates its own plan in real-time to achieve that goal.
3. The New Movement: Reinforcement Learning (The Coach) 🏋️
• Developers don't program movement manually anymore. They act as "Coaches."
• Example: To teach a dragon to fly, you give it points for staying in the air. The AI runs millions of simulations, learning through trial and error until it flies realistically.
4. The New Dialogue: Generative AI 🗣️
• Replacing multiple-choice text bubbles with LLMs (like ChatGPT).
• NPCs can generate unique responses on the fly, meaning no two conversations are ever the same.
5. The Hurdles 🚧
• Pacing: How do you control the story if the AI is unpredictable?
• Safety: Preventing AI from saying offensive things.
• Hardware: It requires massive processing power.
▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬

#GameDev #AI #ArtificialIntelligence #Gaming #Tech #GenerativeAI #NPCs #FutureTech