We describe a novel framework developed for transfer learning within reinforcement learning (RL) problems. Then we exhibit how this framework can be extended to intelligent tutorin...
Kimberly Ferguson, Beverly Park Woolf, Sridhar Mah...
With the recent trend towards deregulating power systems around the world, transfer capability computation emerges as the key issue to a smoothly running power market with multipl...
In this paper we present the MAPa language for expressing knowledge transfer and action restriction between agents in multiagent systems. Our approach is founded on the definition ...
We present a formal model for stateful security protocols. This model is used to define ownership and ownership transfer as concepts as well as security properties. These definitio...
Ton van Deursen, Sjouke Mauw, Sasa Radomirovic, Pi...
In this paper, we extend the cross-multiplicative transfer function (CMTF) approach for improved system identification in the shorttime Fourier transform (STFT) domain. The propo...