AIMC Topic: Reinforcement, Psychology

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Multisource Transfer Double DQN Based on Actor Learning.

IEEE transactions on neural networks and learning systems Jun 1, 2018
Deep reinforcement learning (RL) comprehensively uses the psychological mechanisms of "trial and error" and "reward and punishment" in RL as well as powerful feature expression and nonlinear mapping in deep learning. Currently, it plays an essential ...
Algorithms Computer Simulation Reinforcement, Psychology Humans Neural Networks, Computer Machine Learning Transfer, Psychology
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Applications of Deep Learning and Reinforcement Learning to Biological Data.

IEEE transactions on neural networks and learning systems Jun 1, 2018
Rapid advances in hardware-based technologies during the past decades have opened up new possibilities for life scientists to gather multimodal data in various application domains, such as omics, bioimaging, medical imaging, and (brain/body)-machine ...
Deep Learning Computational Biology Data Mining Reinforcement, Psychology Humans Algorithms
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Mastering the game of Go without human knowledge.

Nature Oct 18, 2017
A long-standing goal of artificial intelligence is an algorithm that learns, tabula rasa, superhuman proficiency in challenging domains. Recently, AlphaGo became the first program to defeat a world champion in the game of Go. The tree search in Alpha...
Humans Neural Networks, Computer Software Reinforcement, Psychology Games, Recreational Unsupervised Machine Learning Supervised Machine Learning
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Acquisition and extinction of operant pain-related avoidance behavior using a 3 degrees-of-freedom robotic arm.

Pain May 1, 2016
Ample empirical evidence endorses the role of associative learning in pain-related fear acquisition. Nevertheless, research typically focused on self-reported and psychophysiological measures of fear. Avoidance, which is overt behavior preventing the...
Young Adult Adult Male Humans Female Robotics Skin Pain Arm Middle Aged Surveys and Questionnaires Muscle Strength Reinforcement, Psychology Range of Motion, Articular Avoidance Learning Analysis of Variance Extinction, Psychological Electric Stimulation
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Can a video game company tame toxic behaviour?

Nature Mar 31, 2016
Video Games Reinforcement, Psychology Social Behavior Cultural Characteristics Peer Influence Punishment Teaching Algorithms Bullying Internet Reward Humans Machine Learning
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Spiking neurons can discover predictive features by aggregate-label learning.

Science (New York, N.Y.) Mar 4, 2016
The brain routinely discovers sensory clues that predict opportunities or dangers. However, it is unclear how neural learning processes can bridge the typically long delays between sensory clues and behavioral outcomes. Here, I introduce a learning c...
Membrane Potentials Models, Neurological Unsupervised Machine Learning Supervised Machine Learning Reinforcement, Psychology Formative Feedback Neurons Concept Formation Brain Learning Speech Humans Neural Networks, Computer
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Goal-Directed Decision Making with Spiking Neurons.

The Journal of neuroscience : the official journal of the Society for Neuroscience Feb 3, 2016
UNLABELLED: Behavioral and neuroscientific data on reward-based decision making point to a fundamental distinction between habitual and goal-directed action selection. The formation of habits, which requires simple updating of cached values, has been...
Animals Rats Action Potentials Goals Reinforcement, Psychology Decision Making Neurons Neural Networks, Computer Choice Behavior
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Mastering the game of Go with deep neural networks and tree search.

Nature Jan 28, 2016
The game of Go has long been viewed as the most challenging of classic games for artificial intelligence owing to its enormous search space and the difficulty of evaluating board positions and moves. Here we introduce a new approach to computer Go th...
Computers Europe Supervised Machine Learning Humans Neural Networks, Computer Software Monte Carlo Method Reinforcement, Psychology Games, Recreational
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Google AI algorithm masters ancient game of Go.

Nature Jan 28, 2016
Reinforcement, Psychology Games, Recreational Supervised Machine Learning Biomimetics Goals Software Decision Making Humans Neural Networks, Computer
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A Simple Network Architecture Accounts for Diverse Reward Time Responses in Primary Visual Cortex.

The Journal of neuroscience : the official journal of the Society for Neuroscience Sep 16, 2015
UNLABELLED: Many actions performed by animals and humans depend on an ability to learn, estimate, and produce temporal intervals of behavioral relevance. Exemplifying such learning of cued expectancies is the observation of reward-timing activity in ...
Neurons Reward Nerve Net Visual Cortex Membrane Potentials Synaptic Transmission Reinforcement, Psychology Animals Neuronal Plasticity Models, Neurological Neural Networks, Computer Computer Simulation Learning
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