Multi-valued neurons are the neural processing elements with complex-valued weights, huge functionality (it is possible to implement on the single neuron arbitrary mapping describ...
Igor N. Aizenberg, Naum N. Aizenberg, Constantine ...
Partially Observable Markov Decision Process (POMDP) is a popular framework for planning under uncertainty in partially observable domains. Yet, the POMDP model is riskneutral in ...
In this work, we develop a partial evaluation technique for residuating functional logic programs, which generalize the concurrent computation models for logic programs with delays...
Abstract. Finding optimal policies for general partially observable Markov decision processes (POMDPs) is computationally difficult primarily due to the need to perform dynamic-pr...
We present Oracle-Based Partial Evaluation (OBPE), a novel approach to on-line Partial Evaluation (PE) which decides the control strategy to use for each call pattern by using an ...