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Self-Supervised RL - Learning Without Data [Zero to Paper]
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Inverse Reinforcement Learning with Natural Language Goals (LangGoal IRL) offers a way to do sample-efficient IRL and a way to generalize using self-supervised learning. The paper is novel and is a step forward for general AI and ML algorithms. Though it has its cons, I think it is one of the better papers out there that cover RL, IRL, NLP, and generalization.
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Self-Supervised RL - Learning Without Data [Zero to Paper]
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