AIMC Topic: Reinforcement, Psychology

Clear Filters Showing 61 to 70 of 293 articles

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 Machine Learning Cooperative Behavior Reinforcement, Psychology Humans Neural Networks, Computer Algorithms Deep Learning
View on PubMed DOI

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 Behavior, Animal Animals Reinforcement, Psychology Algorithms Fishes Social Behavior
View on PubMed DOI

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 Reinforcement, Psychology Algorithms Computer Simulation Neural Networks, Computer Time Factors
View on PubMed DOI

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...
Computer Simulation Time Factors Vibration Reinforcement, Psychology Humans Neural Networks, Computer Algorithms
View on PubMed DOI

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...
Pedestrians Accidents, Traffic Automation Decision Making Reinforcement, Psychology Humans Automobile Driving Automobiles Walking Risk Assessment Deep Learning
View on PubMed DOI

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 Action Potentials Computer Simulation Neurons Neural Networks, Computer Dendrites Models, Neurological Animals Reinforcement, Psychology Algorithms Deep Learning
View on PubMed DOI

Analysis of impact of limb segment length variations during reinforcement learning in four-legged robot.

Scientific reports Nov 14, 2024
Crawling robots are becoming increasingly prevalent in both industrial and private applications. Despite their many advantages over other robot types, they have complex movement mechanics. Artificial intelligence can simplify this by reinforcement le...
Artificial Intelligence Algorithms Biomechanical Phenomena Humans Neural Networks, Computer Extremities Reinforcement, Psychology Robotics Walking Animals
View on PubMed DOI

Offline reward shaping with scaling human preference feedback for deep reinforcement learning.

Neural networks : the official journal of the International Neural Network Society Nov 1, 2024
Designing reward functions that fully align with human intent is often challenging. Preference-based Reinforcement Learning (PbRL) provides a framework where humans can select preferred segments through pairwise comparisons of behavior trajectory seg...
Humans Choice Behavior Robotics Neural Networks, Computer Reward Deep Learning Reinforcement, Psychology
View on PubMed DOI

Highly valued subgoal generation for efficient goal-conditioned reinforcement learning.

Neural networks : the official journal of the International Neural Network Society Oct 28, 2024
Goal-conditioned reinforcement learning is widely used in robot control, manipulating the robot to accomplish specific tasks by maximizing accumulated rewards. However, the useful reward signal is only received when the desired goal is reached, leadi...
Robotics Humans Algorithms Reward Reinforcement, Psychology Goals Neural Networks, Computer Learning
View on PubMed DOI

A Scoping Review of Machine Learning Applied to Peripheral Nerve Interfaces.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Oct 7, 2024
Peripheral nerve interfaces (PNIs) can enable communication with the peripheral nervous system and have a broad range of applications including in bioelectronic medicine and neuroprostheses. They can modulate neural activity through stimulation or mo...
Machine Learning Humans Algorithms Supervised Machine Learning Reinforcement, Psychology Unsupervised Machine Learning Peripheral Nerves Neural Networks, Computer
View on PubMed DOI
Popular Topics
Recent Journals