Computing the Expected Markov Reward Rates with Stationarity Detection and Relative Error Control
Sign Up to like & getrecommendations! Published in 2017 at "Methodology and Computing in Applied Probability"
DOI: 10.1007/s11009-016-9490-y
Abstract: By combining in a novel way the randomization method with the stationary detection technique, we develop two new algorithms for the computation of the expected reward rates of finite, irreducible Markov reward models, with control… read more here.
Keywords: detection; reward rates; relative error; error ... See more keywords
Signals of anticipation of reward and of mean reward rates in the human brain
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DOI: 10.1038/s41598-020-61257-y
Abstract: Theoretical models of dopamine function stemming from reinforcement learning theory have emphasized the importance of prediction errors, which signal changes in the expectation of impending rewards. Much less is known about the effects of mean… read more here.
Keywords: reward rates; reward mean; mean reward; anticipation reward ... See more keywords
A theoretical analysis of the reward rate optimality of collapsing decision criteria
Sign Up to like & getrecommendations! Published in 2019 at "Attention, Perception & Psychophysics"
DOI: 10.3758/s13414-019-01806-4
Abstract: A standard assumption of most sequential sampling models is that decision-makers rely on a decision criterion that remains constant throughout the decision process. However, several authors have recently suggested that, in order to maximize reward… read more here.
Keywords: decision; reward rates; decision criterion; decision criteria ... See more keywords