54k citations · 58.7k across the 46 of their papers we have counts for
9 papers · 1 filter
Distributed Planning in Hierarchical Factored MDPs
Carlos E. Guestrin, Geoffrey Gordon
We present a principled and efficient planning algorithm for collaborative multiagent dynamical systems. All computation, during both the planning and the execution phases, is dist…
Robust Probabilistic Inference in Distributed Systems
Mark Paskin, Carlos E. Guestrin
Probabilistic inference problems arise naturally in distributed systems such as sensor networks and teams of mobile robots. Inference algorithms that use message passing are a natu…
Solving Factored MDPs with Continuous and Discrete Variables
Carlos E. Guestrin, Milos Hauskrecht, Branislav Kveton
Although many real-world stochastic planning problems are more naturally formulated by hybrid models with both discrete and continuous variables, current state-of-the-art methods c…
Near-optimal Nonmyopic Value of Information in Graphical Models
Andreas Krause, Carlos E. Guestrin
A fundamental issue in real-world systems, such as sensor networks, is the selection of observations which most effectively reduce uncertainty. More specifically, we address the lo…
Hierarchical Exploration for Accelerating Contextual Bandits
Yisong Yue, Sue Ann Hong, Carlos Guestrin
Contextual bandit learning is an increasingly popular approach to optimizing recommender systems via user feedback, but can be slow to converge in practice due to the need for expl…
Distributed Parallel Inference on Large Factor Graphs
Joseph E. Gonzalez, Yucheng Low, Carlos E. Guestrin +1
As computer clusters become more common and the size of the problems encountered in the field of AI grows, there is an increasing demand for efficient parallel inference algorithms…