You've been logged out of GDC Vault since the maximum users allowed for this account has been reached. To access Members Only content on GDC Vault, please log out of GDC Vault from the computer which last accessed this account.

Click here to find out about GDC Vault Membership options for more users.

close

Session Name:

Machine Learning Summit: Successfully Use Deep Reinforcement Learning in Testing and NPC Development

Overview:

There have been a lot of discussions (and promise) on how deep reinforcement and imitation learning can be used for scaling playtesting and NPC creation in games. Innovative AI institutions like DeepMind and OpenAI have beaten top players in Go, Starcraft II, and Dota 2, which has led to a flurry of publication and novel research that is making its way to the gaming industry. However, for many game studios today, the hope and dream of creating a truly intelligent AI is in sharp contrast with the cost and implementation realities.nnIn this presentation, you will hear lessons learned from small and indie studios who are leveraging deep reinforcement and imitation learning in order to gain an advantage. You will also hear what advantages these studios are achieving and learn best practices.nnYou will hear real-world examples from two studios who are implementing reinforcement and imitation learning for their titles.

Did you know free users get access to 30% of content from the last 2 years?


Get your team full access to the most up to date GDC content

  • GDC 2020
  • Robin Lindh Nilsson
  • Carry Castle
  • Jeffrey Shih
  • Unity Technologies
  • Ervin Teng
  • Unity Technologies
  • free content
  • Machine Learning Summit
  • Programming