Results 81 to 90 of about 11,612 (263)
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
doaj +1 more source
Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones
Advanced Engineering Materials, EarlyView.A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell +3 more
wiley +1 more source
We show that for many classes of symmetric two-player games, the simple decision rule "imitate-the-best" can hardly be beaten by any other decision rule.
Oechssler, Joerg +2 more
core +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
doaj +1 more source
Advanced Engineering Materials, EarlyView.Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios +5 more
wiley +1 more source
From motor babbling to hierarchical learning by imitation: a robot developmental pathway [PDF]
, 2005 How does an individual use the knowledge acquired through self exploration as a manipulable model through which to understand others and benefit from their knowledge? How can developmental and social learning be combined for their mutual benefit?
Dearden, A +3 more
core
From knowing to doing: Learning diverse motor skills through instruction learning
Biomimetic Intelligence and RoboticsRecent years have witnessed many successful trials in the robot learning field. For contact-rich robotic tasks, it is challenging to learn coordinated motor skills by reinforcement learning.
Linqi Ye +5 more
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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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Advanced Engineering Materials, EarlyView.A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
Influence of action-effect associations acquired by ideomotor learning on imitation.
PLoS ONE, 2015 According to the ideomotor theory, actions are represented in terms of their perceptual effects, offering a solution for the correspondence problem of imitation (how to translate the observed action into a corresponding motor output).
Frédérique Bunlon +3 more
doaj +1 more source