VR Manufacturing Training

When: Fall 2019                                                Team Size: 5                                     Role: Co-Producer, Programmer 



Project Shadow Agent is an experimental game development project researching enhanced non-player character (NPC) behaviors using reinforcement learning tools. The goal of the project is to create a delightful experience consisting of more exciting interactions between NPCs and the environment.
Reinforcement learning is a relatively new machine learning method that learns the best character behaviors based on rewards and punishments. By working with our client, Google Stadia, the team is exploring game genres and mechanics that prove reinforcement learning can be a useful tool in game design.

Project Website: https://www.etc.cmu.edu/projects/shadow-agent/

Project Trailer:

Gameplay Videos:

Sandbox mode

Adventure mode - win

Adventure mode - lose





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