114 citations · 188 across the 12 of their papers we have counts for
12 papers
Learning to Compensate Photovoltaic Power Fluctuations from Images of the Sky by Imitating an Optimal Policy
Robin Spiess, Felix Berkenkamp, Jan Poland +1
The energy output of photovoltaic (PV) power plants depends on the environment and thus fluctuates over time. As a result, PV power can cause instability in the power grid, in part…
MDL Convergence Speed for Bernoulli Sequences
Jan Poland, Marcus Hutter
The Minimum Description Length principle for online sequence estimation/prediction in a proper learning setup is studied. If the underlying model class is discrete, then the total…
Universal Learning of Repeated Matrix Games
Jan Poland, Marcus Hutter
We study and compare the learning dynamics of two universal learning algorithms, one based on Bayesian learning and the other on prediction with expert advice. Both approaches have…
FPL Analysis for Adaptive Bandits
Jan Poland
A main problem of "Follow the Perturbed Leader" strategies for online decision problems is that regret bounds are typically proven against oblivious adversary. In partial observati…
Defensive Universal Learning with Experts
Jan Poland, Marcus Hutter
This paper shows how universal learning can be achieved with expert advice. To this aim, we specify an experts algorithm with the following characteristics: (a) it uses only feedba…
Asymptotics of Discrete MDL for Online Prediction
Jan Poland, Marcus Hutter
Minimum Description Length (MDL) is an important principle for induction and prediction, with strong relations to optimal Bayesian learning. This paper deals with learning non-i.i.…