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Do as the Romans Do: Learning Universal Behaviors from Heterogeneous Agents

Chang, Caleb et al.
arXiv (All) · Papers
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machine-learning
Humans often acquire new skills by observing others, since observed behaviors implicitly reveal how to act reasonably in an environment. However, observations drawn from a heterogeneous population introduce conflicting behavioral signals, making it difficult to determine which behaviors are worth im
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