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Action Priors
Action Priors for Learning Domain Invariances
An agent tasked with solving a number of different decision making problems in similar environments has an opportunity to learn over a …
Benjamin Rosman
,
Subramanian Ramamoorthy
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What Good are Actions? Accelerating Learning using Learned Action Priors
The computational complexity of learning in sequential decision problems grows exponentially with the number of actions available to …
Benjamin Rosman
,
Subramanian Ramamoorthy
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