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20112022
most citedDecision-Theoretic Planning: Structural Assumptions and Computational Leverage

1.1k citations · 4.2k across the 38 of their papers we have counts for

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cs.AI2022142 cited

Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Report

Michael L. Littman, Ifeoma Ajunwa, Guy Berger +14

In September 2021, the "One Hundred Year Study on Artificial Intelligence" project (AI100) issued the second report of its planned long-term periodic assessment of artificial intel…

cs.AI2018

Planning and Learning with Stochastic Action Sets

Craig Boutilier, Alon Cohen, Amit Daniely +5

In many practical uses of reinforcement learning (RL) the set of actions available at a given state is a random variable, with realizations governed by an exogenous stochastic proc…

cs.AI2013

Modal Logics for Qualitative Possibility and Beliefs

Craig Boutilier

Possibilistic logic has been proposed as a numerical formalism for reasoning with uncertainty. There has been interest in developing qualitative accounts of possibility, as well as…

cs.AI2013

The Probability of a Possibility: Adding Uncertainty to Default Rules

Craig Boutilier

We present a semantics for adding uncertainty to conditional logics for default reasoning and belief revision. We are able to treat conditional sentences as statements of condition…

cs.AI2013

Integrating Planning and Execution in Stochastic Domains

Richard Dearden, Craig Boutilier

We investigate planning in time-critical domains represented as Markov Decision Processes, showing that search based techniques can be a very powerful method for finding close to o…

cs.AI2013556 cited

Context-Specific Independence in Bayesian Networks

Craig Boutilier, Nir Friedman, Moises Goldszmidt +1

Bayesian networks provide a language for qualitatively representing the conditional independence properties of a distribution. This allows a natural and compact representation of t…