Use the GDC 2021 Session Viewer to browse and sort the ever-growing list of sessions by pass type, topic, and format. You will be able to build your personal schedule directly within the event platform, once live early July 2021.
Meng Wang (Senior Deep Learning Researcher, Netease)
Pass Type: All Access Pass, Summits Pass
Vault Recording: TBD
Audience Level: N/A: I prefer to present live on-site but I am open to delivering a virtual presentation
Traditionally, imitation learning is used as a technique to train AI from player data or pre-train an AI for further learning algorithms such as reinforcement learning. This session will introduce some interesting applications of imitation learning tried in the Netease game, including the traditional way of using imitation learning to directly train an AI or using imitation learning to accelerate the training of reinforcement learning AI, as well as some new attempts such as using imitation learning to train multi-style AIs or improving the reinforcement learning AI to be more human-like.
The attendee can learn some interesting imitation learning applications in the game besides simply training an AI with player data.
The audience who are interested in game AI and imitation learning.