Mutual information is widely used in artificial intelligence, in a descriptive way, to measure the stochastic dependence of discrete random variables. In order to address question...
We present Policy Gradient Actor-Critic (PGAC), a new model-free Reinforcement Learning (RL) method for creating limited-memory stochastic policies for Partially Observable Markov ...
Policy gradient (PG) reinforcement learning algorithms have strong (local) convergence guarantees, but their learning performance is typically limited by a large variance in the e...
In this paper we discuss the TestTool system as an established testing system model, the one that is being used in real educational settings and supports self-assessment as well as...
Vytautas Reklaitis, Kazys Baniulis, Nerijus Auksta...