Results 101 to 110 of about 257,916 (275)
Transfer Learning for Prosthetics Using Imitation Learning
, 2018 Workshop paper, Black in AI, NeurIPS ...
Mohammedalamen, Montaser +2 more
openaire +2 more sources
Predicting Atomic Charges in MOFs by Topological Charge Equilibration
Advanced Functional Materials, EarlyView.An atomic charge prediction method is presented that is able to accurately reproduce ab‐initio‐derived reference charges for a large number of metal–organic frameworks. Based on a topological charge equilibration scheme, static charges that fulfill overall neutrality are quickly generated.
Babak Farhadi Jahromi +2 more
wiley +1 more source
Conductance‐Dependent Photoresponse in a Dynamic SrTiO3 Memristor for Biorealistic Computing
Advanced Functional Materials, EarlyView.A nanoscale SrTiO3 memristor is shown to exhibit dynamic synaptic behavior through the interaction of local electrical and global optical signals. Its photoresponse depends quantitatively on the conductance state, which evolves and decays over tunable timescales, enabling ultralow‐power, biorealistic learning mechanisms for advanced in‐memory and ...
Christoph Weilenmann +8 more
wiley +1 more source
Imitation trap and catch-up: a benchmark model based on horizontal innovation theory [PDF]
China Political EconomyPurposeThe paper introduces the concept of the “imitation trap” to describe a state where economies remain reliant on technological imitation and fail to transition to growth driven by independent innovation.
Feng Wei, Yang Jiao
doaj +1 more source
Social learning in a multi-agent system
, 2004 In a persistent multi-agent system, it should be possible for new agents to benefit from the accumulated learning of more experienced agents. Parallel reasoning can be applied to the case of newborn animals, and thus the biological literature on social ...
Franks, Daniel W., Noble, Jason
core +2 more sources
Advanced Functional Materials, EarlyView.In MOCVD MoS2 memristors, a current compliance‐regulated Ag filament mechanism is revealed. The filament ruptures spontaneously during volatile switching, while subsequent growth proceeds vertically through the MoS2 layers and then laterally along the van der Waals gaps during nonvolatile switching.
Yuan Fa +19 more
wiley +1 more source
Self-imitation and Environmental Scaffolding for Robot Teaching
International Journal of Advanced Robotic Systems, 2008 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 ...
Chrystopher L. Nehaniv +3 more
doaj
No imitation - on local and group interaction, learning and reciprocity in prisoners\ [PDF]
This study disentangles experimentally imitation, reinforcement, and reciprocity in repeated prisoners' dilemmas. We compare a simple situation in which players interact only with their neighbours (local interaction) with one where players interact with ...
Kirchkamp, Oliver, Nagel, Rosemarie
core
Bio‐Inspired Molecular Events in Poly(Ionic Liquids)
Advanced Functional Materials, EarlyView.Originating from dipolar and polar inter‐ and intra‐chain interactions of the building blocks, the topologies and morphologies of poly(ionic liquids) (PIL) govern their nano‐ and micro‐processibility. Modulating the interactions of cation‐anion pairs with aliphatic dipolar components enables the tunability of properties, facilitated by “bottom‐up ...
Jiahui Liu, Marek W. Urban
wiley +1 more source
Imitation learning of car driving skills with decision trees and random forests
International Journal of Applied Mathematics and Computer Science, 2014 Machine learning is an appealing and useful approach to creating vehicle control algorithms, both for simulated and real vehicles. One common learning scenario that is often possible to apply is learning by imitation, in which the behavior of an ...
Cichosz Paweł, Pawełczak Łukasz
doaj +1 more source