A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
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
Identification. The missing link between joint attention and imitation [PDF]
In this paper we outline our hypothesis that human intersubjective engagement entails identifying with other people. We tested a prediction derived from this hypothesis that concerned the relation between a component of joint attention and a specific ...
Hobson, JA +3 more
core +1 more source
Imitation-Reinforcement Learning Penetration Strategy for Hypersonic Vehicle in Gliding Phase
To 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
Proper Imitation, a Prerequisite for Creativity Imitative Learning in Architectural Education (Design Process) [PDF]
According to general opinion, “imitation” is considered as the opposite of “creativity”. In architectural design, which is based on creativity, the same perspective is, likewise, prevalent to some degree.
Vahid Sadram
doaj
What Do Large Language Models Know About Materials?
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
Visual imitation learning from one-shot demonstration for multi-step robot pick and place tasks
Imitation learning provides an intuitive approach for robot programming by enabling robots to learn directly from human demonstrations. While recent visual imitation learning methods have shown promise, they often depend on large datasets, which limits ...
Shuang Lu +2 more
doaj +1 more source
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
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
Untrained chimpanzees (Pan troglodytes schweinfurthii) fail to imitate novel actions [PDF]
No special funding was needed for this study. Costs were covered by our institute, which had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Background: Social learning research in apes has ...
Josep Call +14 more
core +1 more source
A 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
doaj +1 more source
Self-Imitation and Environmental Scaffolding for Robot Teaching
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

