Results 181 to 190 of about 5,619,500 (318)
Trustworthy navigation with variational policy in deep reinforcement learning. [PDF]
Bockrath K +4 more
europepmc +1 more source
EFFECTS OF TASK CHARACTERISTICS AND VICARIOUS REINFORCEMENT ON CHILDREN'S OBSERVATIONAL LEARNING
Shohji Sato, Yoko Sato
openalex +2 more sources
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
Hierarchical reinforcement learning-based traffic signal control. [PDF]
Shen J.
europepmc +1 more source
An Application of Reinforcement Learning to Dialogue Strategy Selection in a Spoken Dialogue System for Email [PDF]
Marilyn Walker
openalex +1 more source
Harnessing Photo‐Energy Conversion in Nanomaterials for Precision Theranostics
Harnessing photo‐energy conversion in nanomaterials enables precision theranostics through light‐driven mechanisms such as photoluminescence, photothermal, photoelectric, photoacoustic, photo‐triggered surface‐enhanced Raman scattering (SERS), and photodynamic processes. This review explores six fundamental principles of photo‐energy conversion, recent
Jingyu Shi +4 more
wiley +1 more source
Intact reinforcement learning in healthy ageing. [PDF]
Lin WH, Pilz KS, Herzog MH, Kunchulia M.
europepmc +1 more source
Experience-Based Reinforcement Learning to Acquire Effective Behavior in a Multi-agent Domain [PDF]
Sachiyo Arai +2 more
openalex +1 more source
This review examines the critical role of neighboring active motifs in heterogeneous catalysts, emphasizing how their synergistic cooperativity can be rationally designed to modulate catalytic properties. The discussion centers on the modulation of electronic and geometric structures, categorizing the catalytic systems into metal‐acid (Brønsted/Lewis ...
Peng Yuan +2 more
wiley +1 more source
Scaffold Hopping with Generative Reinforcement Learning. [PDF]
Rossen L +3 more
europepmc +1 more source

