Stochastic Constraint Programming as Reinforcement Learning

no code implementations • 24 Apr 2017 • Steven Prestwich, Roberto Rossi, Armagan Tarim

Reinforcement Learning (RL) extends Dynamic Programming to large stochastic problems, but is problem-specific and has no generic solvers.

reinforcement-learning Reinforcement Learning (RL)

The BIN_COUNTS Constraint: Filtering and Applications

no code implementations • 28 Nov 2016 • Roberto Rossi, Özgür Akgün, Steven Prestwich, Armagan Tarim

We show that BIN_COUNTS can be employed to develop a decomposition for the $\chi^2$ test constraint, a new statistical constraint that we introduce in this work.