AIMC Topic: Reward

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Weak Human Preference Supervision for Deep Reinforcement Learning.

IEEE transactions on neural networks and learning systems Nov 30, 2021
The current reward learning from human preferences could be used to resolve complex reinforcement learning (RL) tasks without access to a reward function by defining a single fixed preference between pairs of trajectory segments. However, the judgmen...
Reward Locomotion Reinforcement, Psychology Humans Neural Networks, Computer
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Embodied intelligence via learning and evolution.

Nature communications Oct 6, 2021
The intertwined processes of learning and evolution in complex environmental niches have resulted in a remarkable diversity of morphological forms. Moreover, many aspects of animal intelligence are deeply embodied in these evolved morphologies. Howev...
Computer Simulation Animals Reward Biological Evolution Deep Learning
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MRI, Big Data, and Artificial Intelligence: Rewards vs Risks.

Neurology Oct 4, 2021
Big Data Magnetic Resonance Imaging Reward Humans Artificial Intelligence
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Combining STDP and binary networks for reinforcement learning from images and sparse rewards.

Neural networks : the official journal of the International Neural Network Society Sep 17, 2021
Spiking neural networks (SNNs) aim to replicate energy efficiency, learning speed and temporal processing of biological brains. However, accuracy and learning speed of such networks is still behind reinforcement learning (RL) models based on traditio...
Reward Reinforcement, Psychology Neural Networks, Computer Brain
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Learning offline: memory replay in biological and artificial reinforcement learning.

Trends in neurosciences Sep 1, 2021
Learning to act in an environment to maximise rewards is among the brain's key functions. This process has often been conceptualised within the framework of reinforcement learning, which has also gained prominence in machine learning and artificial i...
Humans Reward Hippocampus Reinforcement, Psychology Artificial Intelligence Machine Learning
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When is Psychology Research Useful in Artificial Intelligence? A Case for Reducing Computational Complexity in Problem Solving.

Topics in cognitive science Aug 31, 2021
A problem is a situation in which an agent seeks to attain a given goal without knowing how to achieve it. Human problem solving is typically studied as a search in a problem space composed of states (information about the environment) and operators ...
Problem Solving Algorithms Heuristics Reward Humans Artificial Intelligence
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Systematic review of Pharmacogenomics Knowledgebase evidence for pharmacogenomic links to the dopamine reward pathway for heroin dependence.

Pharmacogenomics Aug 23, 2021
Genetics play an important role in opioid use disorder (OUD); however, few specific gene variants have been identified. Therefore, there is a need to further understand the pharmacogenomics influences on the pharmacodynamics of opioids. The Pharmacog...
Knowledge Bases Reward Neural Pathways Heroin Dependence Dopamine Biomarkers Animals Pharmacogenetics Humans
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I, robot: depression plays different roles in human-human and human-robot interactions.

Translational psychiatry Aug 21, 2021
Socially engaging robots have been increasingly applied to alleviate depressive symptoms and to improve the quality of social life among different populations. Seeing that depression negatively influences social reward processing in everyday interact...
Evoked Potentials Robotics Humans Electroencephalography Reward Depression
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Identifying resting state differences salient for resilience to chronic pain based on machine learning multivariate pattern analysis.

Psychophysiology Aug 12, 2021
Studies have documented behavior differences between more versus less resilient adults with chronic pain (CP), but the presence and nature of underlying neurophysiological differences have received scant attention. In this study, we attempted to iden...
Pain Perception Executive Function Emotional Regulation Nerve Net Chronic Pain Pattern Recognition, Automated Musculoskeletal Pain Cerebral Cortex Connectome Multivariate Analysis Resilience, Psychological Male Magnetic Resonance Imaging Humans Middle Aged Reward Female Adult Machine Learning
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Neural and computational mechanisms of momentary fatigue and persistence in effort-based choice.

Nature communications Jul 28, 2021
From a gym workout, to deciding whether to persevere at work, many activities require us to persist in deciding that rewards are 'worth the effort' even as we become fatigued. However, studies examining effort-based decisions typically assume that th...
Frontal Lobe Choice Behavior Ventral Striatum Reward Fatigue Adult Brain Humans Magnetic Resonance Imaging Adolescent Male Female Neural Networks, Computer Decision Making Young Adult
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