The success ofreinforcement learninginpractical problems depends on the ability to combine function approximation with temporal di erence methods such as value iteration. Experime...
Using the HOL theorem prover, we proved the correctness of a translation from a subset of Accellera’s property specification language PSL to linear temporal logic LTL. Moreover,...
Commitments are a powerful representation for modeling multiagent interactions. Previous approaches have considered the semantics of commitments and how to check compliance with th...
Abstract. Much attention has been paid in HCI to techniques for designing systems that conform to the tasks users wish to carry out. It is often the case that such approaches rely ...
Abstract. For a network of spiking neurons with reasonable postsynaptic potentials, we derive a supervised learning rule akin to traditional error-back-propagation, SpikeProp and s...
Sander M. Bohte, Joost N. Kok, Johannes A. La Pout...