AIMC Topic: Reinforcement, Psychology

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Is Deep Reinforcement Learning Ready for Practical Applications in Healthcare? A Sensitivity Analysis of Duel-DDQN for Hemodynamic Management in Sepsis Patients.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
The potential of Reinforcement Learning (RL) has been demonstrated through successful applications to games such as Go and Atari. However, while it is straightforward to evaluate the performance of an RL algorithm in a game setting by simply using it...
Reinforcement, Psychology Delivery of Health Care Learning Hemodynamics Humans Algorithms Deep Learning Sepsis
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Human locomotion with reinforcement learning using bioinspired reward reshaping strategies.

Medical & biological engineering & computing Jan 8, 2021
Recent learning strategies such as reinforcement learning (RL) have favored the transition from applied artificial intelligence to general artificial intelligence. One of the current challenges of RL in healthcare relates to the development of a cont...
Reinforcement, Psychology Reward Locomotion Humans Artificial Intelligence Learning Adult
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t-soft update of target network for deep reinforcement learning.

Neural networks : the official journal of the International Neural Network Society Jan 4, 2021
This paper proposes a new robust update rule of target network for deep reinforcement learning (DRL), to replace the conventional update rule, given as an exponential moving average. The target network is for smoothly generating the reference signals...
Reinforcement, Psychology Algorithms Deep Learning Robotics
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Multitask Learning and Reinforcement Learning for Personalized Dialog Generation: An Empirical Study.

IEEE transactions on neural networks and learning systems Jan 4, 2021
Open-domain dialog generation, which is a crucial component of artificial intelligence, is an essential and challenging problem. In this article, we present a personalized dialog system, which leverages the advantages of multitask learning and reinfo...
Humans Neural Networks, Computer Databases, Factual Language Reinforcement, Psychology Artificial Intelligence Machine Learning Algorithms
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Using deep reinforcement learning to reveal how the brain encodes abstract state-space representations in high-dimensional environments.

Neuron Dec 15, 2020
Humans possess an exceptional aptitude to efficiently make decisions from high-dimensional sensory observations. However, it is unknown how the brain compactly represents the current state of the environment to guide this process. The deep Q-network ...
Magnetic Resonance Imaging Psychomotor Performance Video Games Male Deep Learning Reinforcement, Psychology Humans Brain Female Young Adult Adult
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Modular deep reinforcement learning from reward and punishment for robot navigation.

Neural networks : the official journal of the International Neural Network Society Dec 8, 2020
Modular Reinforcement Learning decomposes a monolithic task into several tasks with sub-goals and learns each one in parallel to solve the original problem. Such learning patterns can be traced in the brains of animals. Recent evidence in neuroscienc...
Maze Learning Reinforcement, Psychology Punishment Reward Motivation Computer Simulation Animals Deep Learning Robotics
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DAPath: Distance-aware knowledge graph reasoning based on deep reinforcement learning.

Neural networks : the official journal of the International Neural Network Society Dec 5, 2020
Knowledge graph reasoning aims to find reasoning paths for relations over incomplete knowledge graphs (KG). Prior works may not take into account that the rewards for each position (vertex in the graph) may be different. We propose the distance-aware...
Databases, Factual Deep Learning Pattern Recognition, Automated Humans Algorithms Knowledge Reinforcement, Psychology
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Learning sparse and meaningful representations through embodiment.

Neural networks : the official journal of the International Neural Network Society Nov 23, 2020
How do humans acquire a meaningful understanding of the world with little to no supervision or semantic labels provided by the environment? Here we investigate embodiment with a closed loop between action and perception as one key component in this p...
Pattern Recognition, Automated Reinforcement, Psychology Humans Deep Learning Neural Networks, Computer Semantics
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A modeling framework for adaptive lifelong learning with transfer and savings through gating in the prefrontal cortex.

Proceedings of the National Academy of Sciences of the United States of America Nov 5, 2020
The prefrontal cortex encodes and stores numerous, often disparate, schemas and flexibly switches between them. Recent research on artificial neural networks trained by reinforcement learning has made it possible to model fundamental processes underl...
Reinforcement, Psychology Humans Behavior Observation Techniques Prefrontal Cortex Models, Neurological Neural Networks, Computer Cognition Disorders Mental Disorders Learning
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A recurrent neural network framework for flexible and adaptive decision making based on sequence learning.

PLoS computational biology Nov 3, 2020
The brain makes flexible and adaptive responses in a complicated and ever-changing environment for an organism's survival. To achieve this, the brain needs to understand the contingencies between its sensory inputs, actions, and rewards. This is anal...
Computer Simulation Learning Animals Computational Biology Models, Neurological Humans Neural Networks, Computer Brain Task Performance and Analysis Reinforcement, Psychology Natural Language Processing Bayes Theorem Decision Making Reward Models, Statistical
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