Abstract. Recent work has applied the Markov Game formalism from AI to model game dynamics for ice hockey, using a large state space. Dynamic programming is used to learn action-value functions that quantify the impact of actions on goal scoring. Learning is based on a massive dataset that contains over 2.8M events in the National Hockey League. As an application of the Markov model, we use the...

to estimate the fish composition and catchability coefficient of gillnet, a survey was carried out during april 2011 to march 2012 in the shadegan wetland, khuzestan province, iran. samples were collected from five stations viz., mahshar, rogbe, khorosy, ‍salmane and atish. approximately 4300 fish specimens were measured and depletion method was used for the estimation of catchability coefficie...

this paper deals with the boundary value problem involving the differential equation ell y:=-y''+qy=lambda y, subject to the eigenparameter dependent boundary conditions along with the following discontinuity conditions y(d+0)=a y(d-0), y'(d+0)=ay'(d-0)+b y(d-0). in this problem q(x), d, a , b are real, qin l^2(0,pi), din(0,pi) and lambda is a parameter independent of x. by ...

the clinical management of pulmonary embolism and deep venous thrombosis of the legs are similar and requires prolonged anticoagulation therapy. the standard diagnostic approach in patients suspected of pulmonary embolism is ventilation-perfusion (v/q) lung scan and compression ultrasonography to detect deep venous thrombosis. this retrospective study analyzed the role of v/q lung scan and comp...

Decision-theoretic planning is a popular approach to sequential decision making problems, because it treats uncertainty in sensing and acting in a principled way. In single-agent frameworks like MDPs and POMDPs, planning can be carried out by resorting to Q-value functions: an optimal Q-value function Q is computed in a recursive manner by dynamic programming, and then an optimal policy is extr...