Results 81 to 90 of about 5,721,941 (348)
Imitation-Reinforcement Learning Penetration Strategy for Hypersonic Vehicle in Gliding Phase
AerospaceTo enhance the penetration capability of hypersonic vehicles in the gliding phase, an intelligent maneuvering penetration strategy combining imitation learning and reinforcement learning is proposed.
Lei Xu +3 more
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Self-Imitation and Environmental Scaffolding for Robot Teaching
International Journal of Advanced Robotic Systems, 2007 Imitative learning and learning by observation are social mechanisms that allow a robot to acquire knowledge from a human or another robot. However to be able to obtain skills in this way the robot faces many complex issues, one of which is that of ...
Joe Saunders +3 more
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Multi-agent Pursuit Decision-making Method Based on Hybrid Imitation Learning [PDF]
Jisuanji kexueAiming at the limitations of traditional imitation learning approaches in handling diverse expert trajectories,particularly the difficulty in effectively integrating fixed-modality expert data of varying quality,this paper innovatively integrates the ...
WANG Yanning, ZHANG Fengdi, XIAO Dengmin, SUN Zhongqi
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Arthritis Care &Research, Accepted Article.Objective We developed a novel EHR sidecar application to visualize key rheumatoid arthritis (RA) outcomes, including disease activity, physical function, and pain, via a patient‐facing graphical interface designed for use during outpatient visits (“RA PRO dashboard”).
Gabriela Schmajuk +16 more
wiley +1 more source
A decision-making method based on generative adversarial imitation learning [PDF]
Zhihui kongzhi yu fangzhenTo study the intelligent decision making methods under limited decision samples, aiming at the problems that operational decision-making experience is difficult to express and the training samples for intelligent decision learning are limited, based on ...
LI Dong, XU Xiao, WU Lin
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A Critique of Strictly Batch Imitation Learning [PDF]
, 2021 Gokul Swamy +3 more
openalex +1 more source
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source
Vision-Based Imitation Learning in Heterogeneous Multi-Robot Systems: Varying Physiology and Skill
International Journal of Automation and Smart Technology, 2012 Imitation learning enables a learner to improve its abilities by observing others. Most robotic imitation learning systems only learn from demonstrators that are similar physically and in terms of skill level.
Jeff Allen +2 more
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International Journal of Adaptive Control and Signal Processing, EarlyView.This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley +1 more source