Jeff Clune
TalkRL: The Reinforcement Learning Podcast
How to Save a Simulator State in a Video Game
I first encountered your name and your work actually at the NURIPS 2018 Deep Hour Workshop in Montreal. I remember you presenting Go Explorer on the main stage there and the score that you got on Monozoom or Cervange. David Silver commenting on some of the assumptions with respect to RL and saving the simulator states. And I recently learned that you've extended the algorithm to have a policy version that doesn't require a simulator at all. Is that right? Can you talk about the simulator version versus the policy version? That's right. So yeah, this is some of the details that I touched a little bit out of the high level but I can explain in a little bit more detail
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