AIMC Topic: Reinforcement, Psychology

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TIMAR: Transition-informed representation for sample-efficient multi-agent reinforcement learning.

Neural networks : the official journal of the International Neural Network Society Dec 31, 2024
In MARL (Multi-Agent Reinforcement Learning), the trial-and-error learning paradigm based on multiple agents requires massive interactions to produce training samples, significantly increasing both the training cost and difficulty. Therefore, enhanci...
Reinforcement, Psychology Neural Networks, Computer Humans Algorithms
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Improving robustness by action correction via multi-step maximum risk estimation.

Neural networks : the official journal of the International Neural Network Society Dec 27, 2024
Certifying robustness against external uncertainties throughout the control process to reduce the risk of instability is very important. Most existing approaches based on adversarial learning use a fixed parameter to adjust the intensity of adversari...
Risk Assessment Deep Learning Reinforcement, Psychology Neural Networks, Computer Algorithms Humans
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Intrinsic plasticity coding improved spiking actor network for reinforcement learning.

Neural networks : the official journal of the International Neural Network Society Dec 19, 2024
Deep reinforcement learning (DRL) exploits the powerful representational capabilities of deep neural networks (DNNs) and has achieved significant success. However, compared to DNNs, spiking neural networks (SNNs), which operate on binary signals, mor...
Neuronal Plasticity Models, Neurological Action Potentials Computer Simulation Deep Learning Neurons Reinforcement, Psychology Humans Neural Networks, Computer
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Protocol for artificial intelligence-guided neural control using deep reinforcement learning and infrared neural stimulation.

STAR protocols Dec 19, 2024
Closed-loop neural control is a powerful tool for both the scientific exploration of neural function and for mitigating deficiencies found in open-loop deep brain stimulation (DBS). Here, we present a protocol for artificial intelligence-guided neura...
Artificial Intelligence Animals Deep Learning Infrared Rays Reinforcement, Psychology Rats Reinforcement Machine Learning Deep Brain Stimulation
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A fully value distributional deep reinforcement learning framework for multi-agent cooperation.

Neural networks : the official journal of the International Neural Network Society Dec 14, 2024
Distributional Reinforcement Learning (RL) extends beyond estimating the expected value of future returns by modeling its entire distribution, offering greater expressiveness and capturing deeper insights of the value function. To leverage this advan...
Reinforcement, Psychology Reinforcement Machine Learning Humans Neural Networks, Computer Deep Learning Algorithms Cooperative Behavior
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Parallel development of social behavior in biological and artificial fish.

Nature communications Dec 5, 2024
Our algorithmic understanding of vision has been revolutionized by a reverse engineering paradigm that involves building artificial systems that perform the same tasks as biological systems. Here, we extend this paradigm to social behavior. We embodi...
Neural Networks, Computer Artificial Intelligence Algorithms Behavior, Animal Animals Fishes Reinforcement, Psychology Social Behavior
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Event-based adaptive fixed-time optimal control for saturated fault-tolerant nonlinear multiagent systems via reinforcement learning algorithm.

Neural networks : the official journal of the International Neural Network Society Nov 28, 2024
This article investigates the problem of adaptive fixed-time optimal consensus tracking control for nonlinear multiagent systems (MASs) affected by actuator faults and input saturation. To achieve optimal control, reinforcement learning (RL) algorith...
Nonlinear Dynamics Computer Simulation Neural Networks, Computer Reinforcement, Psychology Time Factors Algorithms
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Finite-time optimal control for MMCPS via a novel preassigned-time performance approach.

Neural networks : the official journal of the International Neural Network Society Nov 22, 2024
This paper studies the finite-time optimal stabilization problem of the macro-micro composite positioning stage (MMCPS). The dynamic model of the MMCPS is established as an interconnected system according to the Newton's second law. Different from ex...
Reinforcement, Psychology Computer Simulation Neural Networks, Computer Vibration Time Factors Algorithms Humans
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Decision-making of autonomous vehicles in interactions with jaywalkers: A risk-aware deep reinforcement learning approach.

Accident; analysis and prevention Nov 19, 2024
Jaywalking, as a hazardous crossing behavior, leaves little time for drivers to anticipate and respond promptly, resulting in high crossing risks. The prevalence of Autonomous Vehicle (AV) technologies has offered new solutions for mitigating jaywalk...
Humans Deep Learning Decision Making Risk Assessment Automation Reinforcement, Psychology Pedestrians Automobiles Accidents, Traffic Walking Automobile Driving
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Multi-compartment neuron and population encoding powered spiking neural network for deep distributional reinforcement learning.

Neural networks : the official journal of the International Neural Network Society Nov 17, 2024
Inspired by the brain's information processing using binary spikes, spiking neural networks (SNNs) offer significant reductions in energy consumption and are more adept at incorporating multi-scale biological characteristics. In SNNs, spiking neurons...
Humans Dendrites Computer Simulation Neurons Reinforcement, Psychology Animals Models, Neurological Neural Networks, Computer Deep Learning Action Potentials Algorithms
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