Various methods for solving the inverse reinforcement learning (IRL) problem have been developed independently in machine and economics. In particular, method of Maximum Causal Entropy IRL is based on perspective entropy maximization, while related advances field economics instead assume existence unobserved action shocks to explain expert behavior (Nested Fixed Point Algorithm, Conditional Cho...

Many inverse problems are known to be ill-posed. The ill-posedness can manifested by an instability estimate of exponential type, first derived Mandache [29]. In this work, based on Mandache's idea, we refine the estimates for two problems, including inclusion problem and scattering problem. Our aim is derive explicitly dependence key parameters.The result work show how depends depth hidden con...