Results 81 to 90 of about 93,202 (286)
Approximate Policy Iteration for Generalized Semi-Markov Decision Processes: an Improved Algorithm [PDF]
, 2008 In the context of time-dependent problems of planning under uncertainty, most of the problem's complexity comes from the concurrent interaction of simultaneous processes.
Fabiani, Patrick +2 more
core
Non‐Invasive Multidimensional Capacitive Sensing for In Vivo Traumatic Brain Injury Monitoring
Advanced Materials Technologies, EarlyView.Single‐electrode, multidimensional capacitive sensors noninvasively assess cerebral autoregulation and compliance for traumatic brain injury monitoring. ABSTRACT Traumatic brain injury (TBI) is a major cause of death and disability, but invasive intracranial pressure (ICP) monitoring is risky, and current non‐invasive methods lack the resolution and ...
Shawn Kim +8 more
wiley +1 more source
Systems Science & Control EngineeringLearning controllers for nonlinear complex systems using data-driven model-free adaptive dynamic programming (ADP) algorithms is a challenging problem.
Timotei Lala
doaj +1 more source
Advanced Materials Technologies, EarlyView.This work presents a fully synthetic, 3D‐printed dynamic heart model with left‐side anatomy featuring sutured mitral valve chordae tendineae analogs, embedded actuators for physiologic wall contraction, and customized flexible pressure sensors for the left ventricle.
Alejandro Guillen Obando +7 more
wiley +1 more source
Policy iteration for H∞ control of polynomial time‐varying systems
IET Control Theory & ApplicationsThis paper studies the H∞ control problem for polynomial time‐varying systems. The H∞ control problem has been much less investigated for time‐varying systems in comparison to the time‐invariant systems.
Sajjad Pakkhesal, Saeed Shamaghdari
doaj +1 more source
On the Use of Non-Stationary Policies for Stationary Infinite-Horizon Markov Decision Processes [PDF]
, 2012 We consider infinite-horizon stationary $\gamma$-discounted Markov Decision Processes, for which it is known that there exists a stationary optimal policy.
Lesner, Boris, Scherrer, Bruno
core +3 more sources
Scalable Task Planning via Large Language Models and Structured World Representations
Advanced Robotics Research, EarlyView.This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari +4 more
wiley +1 more source
Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space
Advanced Robotics Research, EarlyView.A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo +6 more
wiley +1 more source
Global Optimization for Value Function Approximation
, 2010 Existing value function approximation methods have been successfully used in many applications, but they often lack useful a priori error bounds. We propose a new approximate bilinear programming formulation of value function approximation, which employs
Petrik, Marek, Zilberstein, Shlomo
core
Stable Imitation of Multigait and Bipedal Motions for Quadrupedal Robots Over Uneven Terrains
Advanced Robotics Research, EarlyView.How are quadrupedal robots empowered to execute complex navigation tasks, including multigait and bipedal motions? Challenges in stability and real‐world adaptation persist, especially with uneven terrains and disturbances. This article presents an imitation learning framework that enhances adaptability and robustness by incorporating long short‐term ...
Erdong Xiao +3 more
wiley +1 more source