Policy gradient methods for reinforcement learning avoid some of the undesirable properties of the value function approaches, such as policy degradation (Baxter and Bartlett, 2001...
Evan Greensmith, Peter L. Bartlett, Jonathan Baxte...
Bayesian belief propagation in graphical models has been recently shown to have very close ties to inference methods based in statistical physics. After Yedidia et al. demonstrate...
: Usability evaluation techniques such as user-observations, cognitive walkthroughs, or heuristic evaluations can be applied to evaluate the usability of multimedia interfaces of c...
Observation is becoming a crucial issue in the engineering of today's systems: the common practice for dealing with their complexity is to encapsulate their subcomponents abs...
Spatio-temporal data sets arise when time-varying physical fields are discretized for simulation or analysis. Examples of time-varying fields are isothermal regions in the sea or ...