IQT’s Lab41 discusses how reinforcement learning can be used to train an autonomous agent to play their all-time favorite 1st person shooter video game: Doom! Listen in as they discuss some of the mechanics behind training the agent and interesting issues that arise when trying to optimize the agent.
This podcast originally aired in January 2019 and some content may be dated.
