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Can we measure the difficulty of an optimization problem?

Author(s)Alpcan, Tansu; Everitt, Tom; Hutter, Marcus
TypeConference paper
Date Published2014
Date CreatedNovember 2-5 2014

Free Lunch for Optimisation under the Universal Distribution

Author(s)Everitt, Tom; Lattimore, Tor; Hutter, Marcus
TypeConference paper
Date Published2014
Date CreatedJuly 6-11 2014

Feature dynamic Bayesian networks

Author(s)Hutter, Marcus
TypeConference paper
Date Published2009
Date CreatedMarch 6-9 2009

Feature Markov Decision Processes

Author(s)Hutter, Marcus
TypeConference paper
Date Published2009
Date CreatedMarch 6-9 2009

Feature Reinforcement Learning: State of the Art

Author(s)Daswani, Mayank; Sunehag, Peter; Hutter, Marcus
TypeConference paper
Date Published2014
Date CreatedJuly 27-31 2014

Extreme State Aggregation beyond MDPs

Author(s)Hutter, Marcus
TypeConference paper
Date Published2014
Date CreatedOctober 8-10 2014

Bayesian reinforcement learning with exploration

Author(s)Lattimore, Tor; Hutter, Marcus
TypeConference paper
Date Published2014
Date CreatedOctober 8-10 2014

The Sample-Complexity of General Reinforcement Learning

Author(s)Lattimore, Tor; Hutter, Marcus; Sunehag, Peter
TypeConference paper
Date Published2013
Date CreatedJune 16-21 2013

Universal Convergence of Semimeasures on Individual Random Sequences

Author(s)Hutter, Marcus; Muchnik, Andrej
TypeConference paper
Date Published2004
Date CreatedOctober 2-5 2004

Prediction with Expert Advice by Following the Perturbed Leader for General Weights

Author(s)Hutter, Marcus; Poland, Jan
TypeConference paper
Date Published2004
Date CreatedOctober 2-5 2004

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