Results 211 to 220 of about 640,433 (264)

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

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

Compliant Pneumatic Feet with Real‐Time Stiffness Adaptation for Humanoid Locomotion

Advanced Robotics Research, EarlyView.
A compliant pneumatic foot with real‐time variable stiffness enables humanoid robots to adapt to changing terrains. Using onboard vision and pressure control, the foot modulates stiffness within each gait cycle, reducing impact forces and improving balance. The design, cast in soft silicone with embedded air chambers and Kevlar wrapping, offers durable,
Irene Frizza, Hiroshi Kaminaga, Philippe Fraisse, Gentiane Venture   +3 more
wiley   +1 more source

Discovery of the reward function for embodied reinforcement learning agents. [PDF]

Nat Commun
Lu R, Shao Z, Ding Y, Chen R, Wu D, Su H, Yang T, Zhang F, Wang J, Shi Y, Jiang ZP, Ding H, Zhang HT.   +12 more
europepmc   +1 more source

Personalized multi-agent reinforcement learning framework for adaptive chronic disease therapy management. [PDF]

Sci Rep
Ahmad F, AlGhamdi R.
europepmc   +1 more source

Bidirectional reinforcement learning neural network for constrained molecular design. [PDF]

Sci Rep
Lin J, Hostaš J, Hu A, Hu H, Ooi HK, Ghaemi MS.   +5 more
europepmc   +1 more source

A deep reinforcement learning framework for influence maximization problem on large-scale social networks. [PDF]

Sci Rep
Yang F, Wang Y, Shu N, Du X, Teng X, Liu J.   +5 more
europepmc   +1 more source

Smartphone App Using Reinforcement Learning for Obesity: Single-Arm Feasibility Study.

JMIR Hum Factors
Kurisu K, Yamamoto Y, Aoyama T, Yamauchi T, Yoshiuchi K.   +4 more
europepmc   +1 more source

Evolutionary reinforcement learning framework for energy-efficient fault resilience and topological stability in WSNs. [PDF]

Sci Rep
Lakshmi S, Aswath S, Swaminathan A, Haldorai A.   +3 more
europepmc   +1 more source

Autonomous robots with socially-aware navigation using memory-assisted deep reinforcement learning. [PDF]

Sci Rep
Montero E, Pico N, Alvarez-Alvarado MS, Ayón JME, Wang P.   +4 more
europepmc   +1 more source