We present a model-based offline reinforcement learning policy performance lower bound that explicitly captures dynamics model misspecification and distribution mismatch we propose an empirical algorithm for optimal selection. Theoretically, prove novel safe improvement theorem by establishing pessimism approximations to the value function. Our key insight is jointly consider selecting over mod...

The phylogenetic comparative method uses estimates of evolutionary relationships to explicitly model the covariance structure of interspecific data. By accounting for common ancestry, the coevolution between 2 or more traits, as a response to one another or to environmental variables, can be studied without confounding similarities due to identity by descent. Because the true phylogeny is unkno...