Results 61 to 70 of about 17,478 (259)
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
doaj +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
International Journal of Adaptive Control and Signal Processing, EarlyView.This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +2 more
wiley +1 more source
Quantum generative adversarial imitation learning
New Journal of Physics, 2023 Investigating quantum advantage in the NISQ era is a challenging problem whereas quantum machine learning becomes the most promising application that can be resorted to.
Tailong Xiao +4 more
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What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Journal of Economic Dynamics and Control, 1999 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +4 more sources
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
Advanced Engineering Materials, EarlyView.This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
Learning and Reproduction of Gestures by Imitation [PDF]
IEEE Robotics & Automation Magazine, 2010 We presented and evaluated an approach based on HMM, GMR, and dynamical systems to allow robots to acquire new skills by imitation. Using HMM allowed us to get rid of the explicit time dependency that was considered in our previous work [12], by encapsulating precedence information within the statistical representation.
Sylvain Calinon +4 more
openaire +1 more source
CAAI Transactions on Intelligence TechnologyA comparative study of two force perception skill learning approaches for robot‐assisted spinal surgery, the impedance model method and the imitation learning (IL) method, is presented.
Meng Li +6 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
doaj +1 more source
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