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pro vyhledávání: '"Hutson, Miles"'
Model-based reinforcement learning (MBRL) is a promising route to sample-efficient policy optimization. However, a known vulnerability of reconstruction-based MBRL consists of scenarios in which detailed aspects of the world are highly predictable, b
Externí odkaz:
http://arxiv.org/abs/2412.05766
Internal HITs on Mechanical Turk can be programmatically restrictive, and as a result, many requesters turn to using external HITs as a more flexible alternative. However, creating such HITs can be redundant and time-consuming. We present MmmTurkey,
Externí odkaz:
http://arxiv.org/abs/1609.00945