| Overview: |
Navigation is at the heart of every AI behaviors in games. However, existing navigation solutions such as Navigation Meshes do not scale well when characters can use complex (yet common in games) navigation abilities, such as being able to jump several times, using a jetpack, teleporting, wall jumping, using jump pads ... In this talk, Maxim Peter and Joshua Romoff will dig into the details of a novel alternative explored at Ubisoft La Forge, proposing to use Deep Reinforcement Learning (Deep RL) to teach bots interacting directly with a game pad to navigate on complex maps using navigation abilities. They will explain how this solution works, discuss the advantages and limits of their current solution and provide examples of successfull integrations in Ubisoft games.
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