AIMC Topic: Reinforcement, Psychology

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ToyArchitecture: Unsupervised learning of interpretable models of the environment.

PloS one May 18, 2020
Research in Artificial Intelligence (AI) has focused mostly on two extremes: either on small improvements in narrow AI domains, or on universal theoretical frameworks which are often uncomputable, or lack practical implementations. In this paper we a...
Reinforcement, Psychology Learning Unsupervised Machine Learning Environment Humans Neural Networks, Computer Artificial Intelligence Algorithms
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Model-Informed Artificial Intelligence: Reinforcement Learning for Precision Dosing.

Clinical pharmacology and therapeutics Feb 23, 2020
The availability of multidimensional data together with the development of modern techniques for data analysis represent an exceptional opportunity for clinical pharmacology. Data science-defined in this special issue as the novel approaches to the c...
Humans Artificial Intelligence Dose-Response Relationship, Drug Reinforcement, Psychology Precision Medicine Pharmacology, Clinical Learning Models, Theoretical
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Reinforcement Learning for Bioretrosynthesis.

ACS synthetic biology Dec 30, 2019
Metabolic engineering aims to produce chemicals of interest from living organisms, to advance toward greener chemistry. Despite efforts, the research and development process is still long and costly, and efficient computational design tools are requi...
Artificial Intelligence Software Algorithms Enzymes Metabolic Engineering Synthetic Biology Metabolic Networks and Pathways Models, Biological Monte Carlo Method Markov Chains Reinforcement, Psychology
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Reinforcement Learning for Improving Agent Design.

Artificial life Nov 7, 2019
In many reinforcement learning tasks, the goal is to learn a policy to manipulate an agent, whose design is fixed, to maximize some notion of cumulative reward. The design of the agent's physical structure is rarely optimized for the task at hand. In...
Reinforcement, Psychology Artificial Intelligence Algorithms Learning
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A complementary learning systems approach to temporal difference learning.

Neural networks : the official journal of the International Neural Network Society Oct 26, 2019
Complementary Learning Systems (CLS) theory suggests that the brain uses a 'neocortical' and a 'hippocampal' learning system to achieve complex behaviour. These two systems are complementary in that the 'neocortical' system relies on slow learning of...
Algorithms Learning Hippocampus Reinforcement, Psychology Systems Theory Systems Analysis Humans Neural Networks, Computer
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Reinforcement Learning in Spiking Neural Networks with Stochastic and Deterministic Synapses.

Neural computation Oct 15, 2019
Though succeeding in solving various learning tasks, most existing reinforcement learning (RL) models have failed to take into account the complexity of synaptic plasticity in the neural system. Models implementing reinforcement learning with spiking...
Models, Neurological Action Potentials Neurons Neural Networks, Computer Computer Simulation Neuronal Plasticity Synapses Synaptic Transmission Reinforcement, Psychology
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Gated spiking neural network using Iterative Free-Energy Optimization and rank-order coding for structure learning in memory sequences (INFERNO GATE).

Neural networks : the official journal of the International Neural Network Society Sep 25, 2019
We present a framework based on iterative free-energy optimization with spiking neural networks for modeling the fronto-striatal system (PFC-BG) for the generation and recall of audio memory sequences. In line with neuroimaging studies carried out in...
Prefrontal Cortex Action Potentials Memory, Short-Term Neurons Mental Recall Reinforcement, Psychology Humans Neural Networks, Computer Learning
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Assisted therapeutic system based on reinforcement learning for children with autism.

Computer assisted surgery (Abingdon, England) Aug 14, 2019
Assisted therapy is increasingly used in autism spectrum disorders (ASD) for improving social interaction and communication skills in recent years. A lot of studies have proven that the form of interactive games for therapy has a good effect on child...
Reinforcement, Psychology Autism Spectrum Disorder Interpersonal Relations Learning Support Vector Machine Female Emotions Humans Male Robotics Neural Networks, Computer China Child
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Clustering Neural Patterns in Kernel Reinforcement Learning Assists Fast Brain Control in Brain-Machine Interfaces.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 9, 2019
Neuroprosthesis enables the brain control on the external devices purely using neural activity for paralyzed people. Supervised learning decoders recalibrate or re-fit the discrepancy between the desired target and decoder's output, where the correct...
Cluster Analysis Attention Brain-Computer Interfaces Haplorhini Movement Reinforcement, Psychology Algorithms Computer Simulation Animals Machine Learning Motor Cortex Electrodes, Implanted Neural Prostheses
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Convergent Temperature Representations in Artificial and Biological Neural Networks.

Neuron Jul 31, 2019
Discoveries in biological neural networks (BNNs) shaped artificial neural networks (ANNs) and computational parallels between ANNs and BNNs have recently been discovered. However, it is unclear to what extent discoveries in ANNs can give insight into...
Spatial Navigation Nerve Net Animals Cerebellum Neural Networks, Computer Supervised Machine Learning Caenorhabditis elegans Thermosensing Brain Zebrafish Reinforcement, Psychology Hot Temperature
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