109 citations · 410 across the 44 of their papers we have counts for
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Approximate Linear Programming for First-order MDPs
Scott Sanner, Craig Boutilier
We introduce a new approximate solution technique for first-order Markov decision processes (FOMDPs). Representing the value function linearly w.r.t. a set of first-order basis fun…
Practical Linear Value-approximation Techniques for First-order MDPs
Scott Sanner, Craig Boutilier
Recent work on approximate linear programming (ALP) techniques for first-order Markov Decision Processes (FOMDPs) represents the value function linearly w.r.t. a set of first-order…
Symbolic Dynamic Programming for Discrete and Continuous State MDPs
Scott Sanner, Karina Valdivia Delgado, Leliane Nunes de Barros
Many real-world decision-theoretic planning problems can be naturally modeled with discrete and continuous state Markov decision processes (DC-MDPs). While previous work has addres…