Construct · 1 fields · 1 citations

causal confusion in imitation learning: a standalone construct

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Reinforcement learning

an imitation learner relies on features correlated with the expert's actions rather than their causes, so more information can make it perform worse.

In reinforcement learning, causal confusion in imitation learning refers to an imitation learner relies on features correlated with the expert's actions rather than their causes, so more information can make it perform worse. This meaning comes from de Haan (2019) in arXiv.[1]

Unit
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Nearby constructs

confusion3 fields · 3 citationsjingle · one word, three constructs imitation learning1 fields · 1 citationsanchor · a standalone construct imitation2 fields · 4 citationsjingle · one word, two constructs

References

de Haan, P., Jayaraman, D., & Levine, S. (2019). Causal Confusion in Imitation Learning. arXiv. https://doi.org/10.48550/arxiv.1905.11979

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