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Associative Reinforcement Learning: A Generate and Test Algorithm

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/bf00116895openalex-snapshot
Incremental Learning from Noisy Data
inferredcites →https://doi.org/10.1007/bf00993347openalex-snapshot
Associative reinforcement learning: Functions ink-DNF
inferredcites →https://doi.org/10.1007/bf00993348openalex-snapshot
Associative Reinforcement Learning: A Generate and Test Algorithm
inferredcites →https://doi.org/10.1016/b978-0-934613-03-3.50028-3openalex-snapshot
MODEL DESIGN IN THE PROSPECTOR CONSULTANT SYSTEM FOR MINERAL EXPLORATION**This work was supported in part by the Office of Resource Analysis of the U.S. Geological Survey under Contract No. 14-08-0001-15985, and in part by the Nonrenewable Resources Section of the National Science Foundation under…
inferredcites →https://doi.org/10.1023/a:1022689909846openalex-snapshot
Associative Reinforcement Learning: Functions in k-DNF
inferredcites →https://doi.org/10.1145/1499799.1499948openalex-snapshot
Subjective bayesian methods for rule-based inference systems
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Learning in embedded systems
inferredcites →https://doi.org/10.7551/mitpress/4168.001.0001openalex-snapshot
Learning in Embedded Systems

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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An Introduction to Reinforcement Learning
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Associative reinforcement learning: Functions ink-DNF
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