Hierarchical reinforcement learning

Results 181 to 190 of about 387,064 (296)

Hierarchical Reinforcement Learning for Quadrupedal Robots: Efficient Object Manipulation in Constrained Environments. [PDF]

Sensors (Basel)
Azimi D, Hoseinnezhad R.
europepmc +1 more source

High‐Conductivity Electrolytes Screened Using Fragment‐ and Composition‐Aware Deep Learning

Advanced Science, EarlyView.
We present a new deep learning framework that hierarchically links molecular and functional unit attributions to predict electrolyte conductivity. By integrating molecular composition, ratios, and physicochemical descriptors, it achieves accurate, interpretable predictions and large‐scale virtual screening, offering chemically meaningful insights for ...
Xiangwen Wang +6 more
wiley +1 more source

All‐Optical Control of Bidirectional Polarization Switching in Ferroelectric Heterostructures for Neuromorphic and In‐Memory Computing

Advanced Science, EarlyView.
We propose an optical ferroelectric field‐effect transistor, composed of a MoS2/CIPS heterostructure, demonstrates the feasibility of all‐optical nonvolatile memory, neuromorphic computing, and logic‐in‐memory operations. The device exhibits reversible light‐controlled memory states, retina‐like synaptic plasticity, and wavelength‐selective ...
Jingjie Niu +7 more
wiley +1 more source

Hierarchical reinforcement learning with central pattern generator for enabling a quadruped robot simulator to walk on a variety of terrains. [PDF]

Sci Rep
Watanabe T +9 more
europepmc +1 more source

Neuronal Encoding in Prefrontal Cortex during Hierarchical Reinforcement Learning. [PDF]

J Cogn Neurosci, 2018
Chiang FK, Wallis JD.
europepmc +1 more source

Single‐Cell Morphomechanics of Prostate Cancer‐Associated Fibroblasts Identifies Distinct Features Associated with Patient Outcome

Advanced Science, EarlyView.
Cancer‐associated fibroblasts (CAFs) in prostate tumors exhibit distinct morphomechanical traits vs normal fibroblasts, including greater stiffness and volume, more elongated stress fibres, and larger and more elongated nuclei. These features, quantified through imaging and real‐time deformability cytometry, correlate with patient outcomes and can be ...
Antje Garside +11 more
wiley +1 more source

A hierarchical reinforcement learning model explains individual differences in attentional set shifting. [PDF]

Cogn Affect Behav Neurosci
Talwar A, Cormack F, Huys QJM, Roiser JP. +3 more
europepmc +1 more source

Beyond Cocrystals: Hierarchical Functional Assemblies via Noncovalent Synthesis

Advanced Science, EarlyView.
Non‐covalent interactions (NCIs) drive the formation of organic cocrystals with diverse structures and tunable optoelectronic properties. This review explores the essential factors governing these properties, highlighting how the sequential nucleation of cocrystals leads to the self‐assembly of organic hierarchical structures (OHSs).
Ya‐Nan Zhu +6 more
wiley +1 more source

Enhancing multi-UAV air combat decision making via hierarchical reinforcement learning. [PDF]

Sci Rep
Wang H, Wang J.
europepmc +1 more source

Smart Optogenetics for Real‐Time Automated Control of Cardiac Electrical Activity

Advanced Science, EarlyView.
We are able to stop dangerous heart‐rhythm spirals before they fully form. Within about 100 ms, it pinpoints the spiral's tiny central tip (≈0.9 mm) using light‐based sensing and machine learning, then shines targeted light to shut it down. This fast, precise, closed‐loop approach detects, targets, and terminates arrhythmias in real time.
Shanliang Deng +15 more
wiley +1 more source

computer science
engineering
reinforcement learning

deep reinforcement learning
environmental science
multi-agent reinforcement learning

medicine
hierarchical deep reinforcement learning
deep q-network