Improving selection strategies in zeroth-level classifier systems based on average reward reinforcement learning
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-018-0682-x
Abstract: As a genetics-based machine learning technique, zeroth-level classifier system (ZCS) based on average reward reinforcement learning (ZCSAR) evolves solutions to optimize average reward per time step. However, initial experimental results have shown that, in some… read more here.
Keywords: selection strategies; average reward; level classifier; selection ... See more keywords
Interplay between midbrain and dorsal anterior cingulate regions arbitrates lingering reward effects on memory encoding
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DOI: 10.1038/s41467-020-15542-z
Abstract: Rewarding events enhance memory encoding via dopaminergic influences on hippocampal plasticity. Phasic dopamine release depends on immediate reward magnitude, but presumably also on tonic dopamine levels, which may vary as a function of the average… read more here.
Keywords: dorsal anterior; effects memory; average reward; reward ... See more keywords
The Average Reward Rate Modulates Behavioral and Neural Indices of Effortful Control Allocation
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Cognitive Neuroscience"
DOI: 10.1162/jocn_a_01905
Abstract: Abstract People tend to avoid exerting cognitive effort, and findings from recent behavioral studies suggest that effort allocation is in part determined by the opportunity cost of slothful responding—operationalized as the average reward rate per… read more here.
Keywords: reward rate; average reward; rate; effortful control ... See more keywords
Average reward rates enable motivational transfer across independent reinforcement learning tasks
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Behavioral Neuroscience"
DOI: 10.3389/fnbeh.2022.1041566
Abstract: Outcomes and feedbacks on performance may influence behavior beyond the context in which it was received, yet it remains unclear what neurobehavioral mechanisms may account for such lingering influences on behavior. The average reward rate… read more here.
Keywords: reinforcement learning; reinforcement; task; average reward ... See more keywords
Anticipatory Classifier System with Average Reward Criterion in Discretized Multi-Step Environments
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DOI: 10.3390/app11031098
Abstract: Initially, Anticipatory Classifier Systems (ACS) were designed to address both single and multistep decision problems. In the latter case, the objective was to maximize the total discounted rewards, usually based on Q-learning algorithms. Studies on… read more here.
Keywords: system; system average; anticipatory classifier; reward criterion ... See more keywords