44 citations · 238 across the 35 of their papers we have counts for
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cs.LG2014★ 3 cited
Characterizing predictable classes of processes
Daniil Ryabko
The problem is sequence prediction in the following setting. A sequence x1,..., xn,... of discrete-valued observations is generated according to some unknown probabilistic law (mea…
cs.LG2014★ 6 cited
Selecting Near-Optimal Approximate State Representations in Reinforcement Learning
Ronald Ortner, Odalric-Ambrym Maillard, Daniil Ryabko
We consider a reinforcement learning setting introduced in (Maillard et al., NIPS 2011) where the learner does not have explicit access to the states of the underlying Markov decis…