Results 171 to 180 of about 197,676 (281)

Whom do we prefer to learn from in observational reinforcement learning? [PDF]

PLoS Comput Biol
Morishita G, Murawski C, Yadav N, Suzuki S.   +3 more
europepmc   +1 more source

Mechanisms of Hierarchical Reinforcement Learning in Corticostriatal Circuits 1: Computational Analysis [PDF]

, 2011
Michael J. Frank, David Badre
openalex   +1 more source

AI‐Enhanced Gait Analysis Insole with Self‐Powered Triboelectric Sensors for Flatfoot Condition Detection

Advanced Materials Technologies, Volume 10, Issue 6, March 18, 2025.
The given research presents an innovative insole‐based device employing self‐powered triboelectric nanogenerators (TENG) for flatfoot detection. By integrating TENG tactile sensors within an insole, the device converts mechanical energy from foot movements to electrical signals analyzed via machine learning, achieving an 82% accuracy rate in flatfoot ...
Moldir Issabek, Sabyrzhan Oralkhan, Adeliya Anash, Nuriya Nurbergenova, Azat Balapan, Azamat Yeshmukhametov, Yeltay Rakhmanov, Gulnur Kalimuldina   +7 more
wiley   +1 more source

Reinforcement Learning and Decision Making in Anorexia Nervosa. [PDF]

Curr Psychiatry Rep
Wierenga CE, Brown CS, Reilly EE.
europepmc   +1 more source

Dynamic Interaction between Reinforcement Learning and Attention in Multidimensional Environments [PDF]

, 2017
Yuan Chang Leong, Angela Radulescu, Reka Daniel, Vivian DeWoskin, Yael Niv   +4 more
openalex   +1 more source

Multiplexed Luminal Tissue Constructs with Reconfigurable Barriers for Dynamic Modeling of Multi‐Tissue Interactions

Advanced Materials Technologies, EarlyView.
This study describes the fabrication of arrays of luminal tissue constructs for 3D luminal tissue modeling. An oil or media‐filled reservoir between constructs serves as a liquid barrier or bridge to regulate communication between lumens within the array for modeling multi‐tissue interactions in vitro. Abstract Cell‐lined luminal structures are crucial
Mouhita Humayun, José A. Jiménez‐Torres, Chao Li, Jose M. Ayuso, Karina Lugo‐Cintron, Joseph Ulbrich, Benjamin Myers, Sheena C. Kerr, Adeel Ahmed, David J. Beebe   +9 more
wiley   +1 more source

Estrogen modulates reward prediction errors and reinforcement learning. [PDF]

Nat Neurosci
Golden CEM, Martin AC, Kaur D, Mah A, Levy DH, Yamaguchi T, Lasek AW, Lin D, Aoki C, Constantinople CM.   +9 more
europepmc   +1 more source

Algorithmic trading on financial time series using Deep Reinforcement Learning [PDF]

Alireza Asghari, Nasser Mozayani
openalex   +1 more source

Two‐Way Shape Memory Polymer Composite Gripper for Adaptive Robotic Applications

Advanced Materials Technologies, EarlyView.
A two‐way shape memory polymer (SMP) composite is developed with intrinsic shape‐changing capability driven solely by temperature, eliminating external actuation loads. Embedding the SMP in a low‐stiffness elastomeric matrix enabled reversible transformations during heating and cooling cycles.
Aamna Hameed, Kamran Ahmed Khan
wiley   +1 more source

Personalizing a mental health texting intervention using reinforcement learning. [PDF]

Npj Ment Health Res
Arévalo Avalos MR, Rosales K, Karr C, Figueroa CA, Luo T, Sudarshan S, Yip V, Aguilera A.   +7 more
europepmc   +1 more source