Results 131 to 140 of about 5,876,040 (331)
Naturalistic reinforcement learning
Trends in Cognitive SciencesHumans possess a remarkable ability to make decisions within real-world environments that are expansive, complex, and multidimensional. Human cognitive computational neuroscience has sought to exploit reinforcement learning (RL) as a framework within which to explain human decision-making, often focusing on constrained, artificial experimental tasks ...
Wise, Toby +2 more
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Hierarchical Reinforcement Learning [PDF]
, 1993 A response generating system can be seen as a mapping from a set of external states (inputs) to a set of actions (outputs). This mapping can be done in principally different ways. One method is to divide the state space into a set of discrete states and store the optimal response for each state. This is denominated a memory mapping system.
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Photonic Nanomaterials for Wearable Health Solutions
Advanced Materials, EarlyView.This review discusses the fundamentals and applications of photonic nanomaterials in wearable health technologies. It covers light‐matter interactions, synthesis, and functionalization strategies, device assembly, and sensing capabilities. Applications include skin patches and contact lenses for diagnostics and therapy. Future perspectives emphasize AI‐
Taewoong Park +3 more
wiley +1 more source
Z-Score Experience Replay in Off-Policy Deep Reinforcement Learning
SensorsReinforcement learning, as a machine learning method that does not require pre-training data, seeks the optimal policy through the continuous interaction between an agent and its environment.
Yana Yang +4 more
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Advanced Materials, EarlyView.Carbon‐based piezoelectric materials are systematically categorized based on their structural and functional properties. The mechanisms of stress‐induced charge transfer are elucidated, and their applications are explored across three key domains: piezoelectric catalysis for energy conversion and environmental remediation, piezoelectric biomedical ...
Mude Zhu +3 more
wiley +1 more source
The partial reinforcement effect and competing behavior in a latent learning situation [PDF]
, 1967 Elvis C. Jones, Cecil C. Bridges
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Materials Advances in Devices for Heart Disease Interventions
Advanced Materials, EarlyView.This review examines the crucial role of materials in heart disease interventions, focusing on strategies for monitoring, managing, and repairing heart conditions. It discusses the material requirements for medical devices, highlighting recent innovations and their impact on cardiovascular health.
Gagan K. Jalandhra +11 more
wiley +1 more source
An Adaptive Energy Management Strategy for Off-Road Hybrid Tracked Vehicles
EnergiesConventional energy management strategies based on reinforcement learning often fail to achieve their intended performance when applied to driving conditions that significantly deviate from their training conditions.
Lijin Han, Wenhui Shi, Ningkang Yang
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Research on predicting 2D-HP protein folding using reinforcement learning with full state space
BMC Bioinformatics, 2019 Background Protein structure prediction has always been an important issue in bioinformatics. Prediction of the two-dimensional structure of proteins based on the hydrophobic polarity model is a typical non-deterministic polynomial hard problem ...
Hongjie Wu +5 more
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Effect of intertrial reinforcement and nonreinforcement on reversal learning [PDF]
, 1967 James Bowen
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