Towards Interactive Training of Non-Player Characters in Video Games

Understand

There is a high demand for high-quality Non-Player Characters (NPCs) in video games.

• Hand-crafting their behavior is a labor intensive and error prone engineering process with limited controls exposed to the game designers.
• We propose to create such NPC behaviors interactively by training an agent in the target environment using imitation learning with a human in the loop.
• While traditional behavior cloning may fall short of achieving the desired performance, we show that interactivity can substantially improve it with a modest amount of human efforts.