Probabilistic planning problems are typically modeled as a Markov Decision Process (MDP). MDPs, while an otherwise expressive model, allow only for sequential, non-durative action...
— An important problem in robotics is planning and selecting actions for goal-directed behavior in noisy uncertain environments. The problem is typically addressed within the fra...
We adopt the decision-theoretic principle of expected utility maximization as a paradigm for designing autonomous rational agents operating in multi-agent environments. We use the...
ion Flow Control for Standard OS Abstractions Maxwell Krohn Alexander Yip Micah Brodsky Natan Cliffer M. Frans Kaashoek Eddie Kohler† Robert Morris MIT CSAIL †UCLA http://flum...
Maxwell N. Krohn, Alexander Yip, Micah Z. Brodsky,...
—We propose a steepest descent method to compute optimal control parameters for balancing between multiple performance objectives in stateless stochastic scheduling, wherein the ...
Chris Y. T. Ma, David K. Y. Yau, Nung Kwan Yip, Na...