Different from normal Meta-RL that trains policy to tackle a distribution of tasks, this work train on a distribution of tasks that are underpinned by a different causal structure. Focus on the question: whether MetaRL can produce an agent capable of causal reasoning. The work has three settin...
By definition, disease genes refer to genes with mutations that are known to have a phenotypic impact, e.g., sequence alterations that are causal for Mendelian diseases or variants that increase the susceptibility to complex diseases or cancers2,40,56,57,58. However, fundamental insights toward ...
Towards causal benchmarking of bias in face analysis algorithms. In The European Conference on Computer Vision (ECCV), 2020. [2] Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ Alt- man, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg...
Over the last two decades, methods belonging to the family of transcranial electrical stimulation (tES) were introduced with the potential to study the causal relationship between neural oscillations and behavior in humans in relatively safe and painless manner6. One such approach, which was initially...
Some of these approaches draw inspiration from middle range theories (i.e., generalizations that describe causal mechanisms within certain contextual bonds, see Meyfroidt et al.187). The identification of solutions for pastoralism is inherently complex, not only because they are challenging to trace...
Temporal Order and Causal Inference possible to test for expected structural differences connecting policy related predispositions and policy preferences; specification also makes it possible to test propositions involving the reciprocal effects of attitudes and emerging vote ... Miller,E W. - 《Political...
This can enhance our understanding of how phenomena unfold over time and is a prerequisite to draw causal inferences (Stenling et al., 2017). Given the significant developmental changes that occur in maturing swimmers, the inclusion of longitudinal data would have been highly relevant for advancing...
AIs unable to match human complexity.Some observers consider that AIs will always interpret human goals too narrowly, risking distortions and polarizations. However, optimists would say that AIs can always be prompted to take on increasingly complex tasks provided that suitable learning is introduced....
IZA discussion paper number 7140, January 2013; Andreas Kotsadam and Henning Finseraas, "The state intervenes in the battle of the sexes: Causal effects of paternity leave", Social Science Research, 2011; Linda Haas and Tina Rostgaard...
This is not surprising under acausal approach: learning a proper name means learning how to apply it to39. But alsocasaandlunedı`under the special conditions sketched above. Toward a Unified Grammar of Reference37a particular object, a unique term of experience, unlike learning a commonnoun,...