Quadratic Unconstrained Binary Optimization (QUBO) is a generic techniqu...
Estimating causal effects from observational data informs us about which...
Multi-agent Markov Decision Process (MMDP) has been an effective way of
...
Distributed Constraint Optimization Problems (DCOPs) are a frequently us...
Causal structure discovery from observational data is fundamental to the...
Bounded Max-Sum (BMS) is a message-passing algorithm that provides
appro...
Distributed Constraint Optimization Problems (DCOPs) are a widely studie...
Distributed Constraint Optimization Problems (DCOPs) are a widely studie...
Distributed Constraint Optimization Problems (DCOPs) have been widely us...
Distributed Constraint Optimization Problems (DCOPs) are an important
fr...
Distributed Pseudo-tree Optimization Procedure (DPOP) is a well-known me...
Evolutionary optimization is a generic population-based metaheuristic th...
Distributed Constraint Optimization Problems (DCOPs) are a widely studie...
Deep Learning algorithms are often used as black box type learning and t...