Option discovery and skill acquisition frameworks are integral to the functioning of a hierarchically organized Reinforcement learning agent. However, such techniques often yield large number options or skills, which can be represented succinctly by filtering out any redundant information. Such reduction decrease required computation while also improving performance on target task. To compress ...

different areas of modern financial tools and processes activities contain the matters like innovations in financial tools engineering and risk management. derivatives and especially stock exchange option is part of this innovation. among all numerical procedures in calculating the value of derivatives and the risk sensitivity parameters of option, binomial models are widely used. in this stud...

In this paper, we study the $$M_n/M_n/c/(K_1+K_2)+M_n$$ system with two finite-size queues where underlying exponential random variables have state-dependent rates. When all servers are busy, upon arrival customers may join online or offline/callback queue simply balk. Customers waiting in impatient and if their patience expires, they choose to callback instead of abandoning for good. assumed b...