4. Statistics
  5. Machine Learning

Christos Dimitrakakis

Statistics – Machine Learning

Scientist

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Scientist

Algorithms and Bounds for Rollout Sampling Approximate Policy Iteration

Statistics – Machine Learning
Scientific paper

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Bayesian multitask inverse reinforcement learning

Statistics – Machine Learning
Scientific paper

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Complexity of stochastic branch and bound methods for belief tree search in Bayesian reinforcement learning

Computer Science – Learning
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Context models on sequences of covers

Statistics – Machine Learning
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Cost-minimising strategies for data labelling : optimal stopping and active learning

Computer Science – Learning
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