AIMC Topic: Reward

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PORF-DDPG: Learning Personalized Autonomous Driving Behavior with Progressively Optimized Reward Function.

Sensors (Basel, Switzerland) Oct 1, 2020
Autonomous driving with artificial intelligence technology has been viewed as promising for autonomous vehicles hitting the road in the near future. In recent years, considerable progress has been made with Deep Reinforcement Learnings (DRLs) for rea...
Neural Networks, Computer Artificial Intelligence Reward Automobile Driving Humans
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Preschoolers' Motivation to Over-Imitate Humans and Robots.

Child development Aug 27, 2020
From preschool age, humans tend to imitate causally irrelevant actions-they over-imitate. This study investigated whether children over-imitate even when they know a more efficient task solution and whether they imitate irrelevant actions equally fro...
Motivation Video Recording Male Photic Stimulation Child Child, Preschool Imitative Behavior Humans Robotics Female Games, Recreational Reward
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Adaptive balancing of exploration and exploitation around the edge of chaos in internal-chaos-based learning.

Neural networks : the official journal of the International Neural Network Society Aug 13, 2020
This paper addresses learning with exploration driven by chaotic internal dynamics of a neural network. Hoerzer et al. showed that a chaotic reservoir network (RN) can learn with exploration driven by external random noise and a sequential reward. In...
Computer Simulation Reward Nonlinear Dynamics Neural Networks, Computer Machine Learning
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Modeling motivation for alcohol in humans using traditional and machine learning approaches.

Addiction biology Jul 29, 2020
Given the significant cost of alcohol use disorder (AUD), identifying risk factors for alcohol seeking represents a research priority. Prominent addiction theories emphasize the role of motivation in the alcohol seeking process, which has largely bee...
Self Administration Reinforcement, Psychology Craving Alcoholic Intoxication Female Breath Tests Young Adult Models, Psychological Adult Humans Reward Machine Learning Male Motivation Ethanol
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Experimentally revealed stochastic preferences for multicomponent choice options.

Journal of experimental psychology. Animal learning and cognition Jul 27, 2020
Realistic, everyday rewards contain multiple components. An apple has taste and size. However, we choose in single dimensions, simply preferring some apples to others. How can such single-dimensional preference relationships refer to multicomponent c...
Species Specificity Behavior, Animal Macaca mulatta Magnetic Resonance Imaging Reward Economics, Behavioral Choice Behavior Psychophysics Humans Machine Learning Female Animals Male Young Adult Adult
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Rage Against the Machine: Advancing the study of aggression ethology via machine learning.

Psychopharmacology Jul 9, 2020
RATIONALE: Aggression, comorbid with neuropsychiatric disorders, exhibits with diverse clinical presentations and places a significant burden on patients, caregivers, and society. This diversity is observed because aggression is a complex behavior th...
Machine Learning Reproducibility of Results Animals Mice Humans Ethology Reward Social Behavior Aggression
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Distinct signals in medial and lateral VTA dopamine neurons modulate fear extinction at different times.

eLife Jun 10, 2020
Dopamine (DA) neurons are to encode reward prediction error (RPE), in addition to other signals, such as salience. While RPE is known to support learning, the role of salience in learning remains less clear. To address this, we recorded and manipulat...
Deep Learning Mice Reward Ventral Tegmental Area Dopaminergic Neurons Learning Freezing Photometry Optogenetics Fear Animals Extinction, Psychological Male Anticipation, Psychological
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Sparsity through evolutionary pruning prevents neuronal networks from overfitting.

Neural networks : the official journal of the International Neural Network Society May 11, 2020
Modern Machine learning techniques take advantage of the exponentially rising calculation power in new generation processor units. Thus, the number of parameters which are trained to solve complex tasks was highly increased over the last decades. How...
Humans Machine Learning Brain Models, Neurological Reward
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Real-time sensory-motor integration of hippocampal place cell replay and prefrontal sequence learning in simulated and physical rat robots for novel path optimization.

Biological cybernetics Feb 24, 2020
An open problem in the cognitive dimensions of navigation concerns how previous exploratory experience is reorganized in order to allow the creation of novel efficient navigation trajectories. This behavior is revealed in the "traveling salesrat prob...
Robotics Reward Animals Algorithms Hippocampus Spatial Navigation Computer Simulation Rats Place Cells Learning Models, Neurological Ventral Striatum
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Modeling uncertainty-seeking behavior mediated by cholinergic influence on dopamine.

Neural networks : the official journal of the International Neural Network Society Feb 6, 2020
Recent findings suggest that acetylcholine mediates uncertainty-seeking behaviors through its projection to dopamine neurons - another neuromodulatory system known for its major role in reinforcement learning and decision-making. In this paper, we pr...
Models, Neurological Decision Making Reward Humans Dopaminergic Neurons Neural Networks, Computer Acetylcholine Cholinergic Neurons Dopamine Animals Uncertainty
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