We consider approximate policy evaluation for finite state and action Markov decision processes (MDP) in the off-policy learning context and with the simulation-based least square...
The increasing variety of semantics proposed in the context of Dung’s theory of argumentation makes more and more inadequate the example-based approach commonly adopted for eval...
We give bit-size estimates for the coefficients appearing in triangular sets describing positive-dimensional algebraic sets defined over Q. These estimates are worst case upper bo...
: In image classification, merging the opinion of several human experts is very important for solving different tasks such as evaluation or training. Indeed, the reality is rarely ...
We show that the number of t-ary trees with path length equal to p is t h(t-1) tp log2 p(1+o(1)) , where h(x)=-x log2 x-(1-x) log2(1-x) is the binary entropy function. Besides its...