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pro vyhledávání: '"Klyne, Harvey"'
Autor:
Cooke, Lauren H., Klyne, Harvey, Zhang, Edwin, Laidlaw, Cassidy, Tambe, Milind, Doshi-Velez, Finale
Inverse reinforcement learning (IRL) is computationally challenging, with common approaches requiring the solution of multiple reinforcement learning (RL) sub-problems. This work motivates the use of potential-based reward shaping to reduce the compu
Externí odkaz:
http://arxiv.org/abs/2312.09983
Autor:
Klyne, Harvey, Shah, Rajen D.
Single-parameter summaries of variable effects are desirable for ease of interpretation, but linear models, which would deliver these, may fit poorly to the data. A modern approach is to estimate the average partial effect -- the average slope of the
Externí odkaz:
http://arxiv.org/abs/2308.09207