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Associative reinforcement learning: Functions ink-DNF

https://doi.org/10.1007/bf00993347
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What this work says

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

inferredcites →https://doi.org/10.1007/978-94-015-3711-7openalex-snapshot
Bandit problems
inferredcites →https://doi.org/10.1007/bf00453370openalex-snapshot
Associative search network: A reinforcement learning associative memory
inferredcites →https://doi.org/10.1007/bf00992696openalex-snapshot
Simple statistical gradient-following algorithms for connectionist reinforcement learning
inferredcites →https://doi.org/10.1007/bf00993348openalex-snapshot
Associative Reinforcement Learning: A Generate and Test Algorithm
inferredcites →https://doi.org/10.1016/0893-6080(88)90007-xopenalex-snapshot
Generalization of backpropagation with application to a recurrent gas market model
inferredcites →https://doi.org/10.1016/c2009-0-22107-6openalex-snapshot
A Mathematical Introduction to Logic
inferredcites →https://doi.org/10.1109/icnn.1988.23856openalex-snapshot
On the use of backpropagation in associative reinforcement learning
inferredcites →https://doi.org/10.1111/j.1467-9280.1991.tb00096.xopenalex-snapshot
Stimulus Generalization and Representation in Adaptive Network Models of Category Learning
inferredcites →https://doi.org/10.1145/1968.1972openalex-snapshot
A theory of the learnable
inferredcites →https://doi.org/10.1201/9780429499661openalex-snapshot
Introduction to the Theory of Neural Computation
inferredcites →https://doi.org/10.17863/cam.132164openalex-snapshot
Learning from Delayed Rewards
inferredcites →https://doi.org/10.21236/ad0241531openalex-snapshot
ADAPTIVE SWITCHING CIRCUITS
inferredcites →https://doi.org/10.21236/ad0256582openalex-snapshot
PRINCIPLES OF NEURODYNAMICS. PERCEPTRONS AND THE THEORY OF BRAIN MECHANISMS
inferredcites →https://doi.org/10.2307/1269084openalex-snapshot
Nonparametric Statistical Inference
inferredcites →https://doi.org/10.2307/2287143openalex-snapshot
An Introduction to Mathematical Statistics and its Applications.
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.

inferred← citeshttps://doi.org/10.1007/bf00993348openalex-snapshot
Associative Reinforcement Learning: A Generate and Test Algorithm
inferred← citeshttps://doi.org/10.1016/j.asoc.2009.10.020openalex-snapshot
Synergizing reinforcement learning and game theory—A new direction for control
inferred← citeshttps://doi.org/10.1016/j.cie.2017.11.030openalex-snapshot
Using Linear Stochastic Bandits to extend traditional offline Designed Experiments to online settings
inferred← citeshttps://doi.org/10.1108/17563781211208233openalex-snapshot
A version of Geiringer‐like theorem for decision making in the environments with randomness and incomplete information
inferred← citeshttps://doi.org/10.1109/5326.704563openalex-snapshot
Fuzzy inference system learning by reinforcement methods
inferred← citeshttps://doi.org/10.1109/icsmc.1995.538473openalex-snapshot
Incremental learning for robot control
inferred← citeshttps://doi.org/10.1109/icsmc.1996.569792openalex-snapshot
Actor-critic learning based on fuzzy inference system
inferred← citeshttps://doi.org/10.1109/icsmc.2004.1400680openalex-snapshot
A modifled approach to fuzzy Q learning for mobile robots
inferred← citeshttps://doi.org/10.1109/sfcs.2000.892116openalex-snapshot
Using upper confidence bounds for online learning
inferred← citeshttps://doi.org/10.11606/d.3.2014.tde-24042015-113950openalex-snapshot
Modelagem e soluções para redes de anúncios.
inferred← citeshttps://doi.org/10.1609/aaai.v35i11.17149openalex-snapshot
Meta-Learning Effective Exploration Strategies for Contextual Bandits
inferred← citeshttps://doi.org/10.3390/s21196448openalex-snapshot
Motor Synergies Measurement Reveals the Relevant Role of Variability in Reward-Based Learning
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