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hey yo wheres my money well give me my money all right were going to get into this video in a second today were going to look at amp adversarial motion priors for stylized physics-based character control by shiebin peng tu ma pietrabil sergei levine and anju kanazawa and this paper is in the domain of control and reinforcement learning but its with a little bit of a twist so on a high level this paper uh trains an agent a physical agent as you can see here to perform some sort of goal in the case on the right its walking up to a target and punching the target but to do so in a certain style and the style is provided by an expert data set or a demonstration data set so the technique that the paper presents mixes two things it mixes goal achieving reinforcement learning and it also mixes adherence to a given style and the adherence to a given style thats going to be the adversarial part right here because thats learned in an adversarial way the mixture of the two uh at the end lo