153 citations · 1.2k across the 73 of their papers we have counts for
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cs.LG2013★ 40 cited
The Sample-Complexity of General Reinforcement Learning
Tor Lattimore, Marcus Hutter, Peter Sunehag
We present a new algorithm for general reinforcement learning where the true environment is known to belong to a finite class of N arbitrary models. The algorithm is shown to be ne…
cs.LG2013
Concentration and Confidence for Discrete Bayesian Sequence Predictors
Tor Lattimore, Marcus Hutter, Peter Sunehag
Bayesian sequence prediction is a simple technique for predicting future symbols sampled from an unknown measure on infinite sequences over a countable alphabet. While strong bound…