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[R] Any Research on Learning Context for Reinforcement Learning?

I’m looking to start a new research project on the subject of pre-training models to learn some sort of context. When applied to a new environment the goal is to have the model perform better by leveraging what it knows about the context of the environment (which it can learn from other environments or outside examples).

Example: In many games (like Mario), being reset back to your original position is a bad thing because it usually means you died and had to restart.

I realize this is a very broad topic and description, but I was wondering if anyone could point me in the direction of any similar research. I’m having trouble finding related research.

submitted by /u/ejmejm1
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.