and attempts to present the whole picture, providing aconsistent and complete reference for policy makers to refer to as …

Reinforcement Learning (RL) is a learning framework in which an agent learns a policy from continual interaction with … the environment. A policy is a mapping from states to actions. The agent receives rewards as feedback on the actions … performed. The objective of RL is to design autonomous agents to search for the policy that maximizes the expectation of the …

their negative consequences. While the effects of both individual and policy factors on overweight and obesity are far … Korea Health and Nutrition Survey, conducted in 1998 and 2001, and time series data, such as those on imports and prices … investigate behavioral and policy factors related to obesity. Effects of price, income, community characteristics, dietary intake …

combination of policy instruments will be more economically efficient than any single strategy in order to correct for multiple …) to compare the cost-effectiveness of individual and combinations of policy instruments. Despite many of the parameter … policy instruments in terms of economic efficiency found in Fischer & Newell (2008). Beginning with the most cost …

engage in apractice the author identifies as policy shielding, where established policy or law is usedas a barrier from … of these findings is distinct, there is a progressive relationship amongthem. When principals avoid policy shielding, the … policy alone and expending personal time and energy to engage in problemsolving. Because principals make decisions and solve …