Architecture of Individuation Web-Learning Based on Multi-agent

Wang, Chaonan; Qu, Youtian; Ma, Wing-Kin; Zou, Huilai; Zhong, Lili

doi:10.1109/embeddedcom-scalcom.2009.106

Cited by 1 publication

(1 citation statement)

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“…However, these methods may still limit the agent's cooperation ability in familiar tasks and fail to handle unseen tasks or new agent interactions. Another line of research focuses on zero-shot coordination (ZSC), utilizing Population-Based Training (PBT) (Strouse et al 2021;Zhao et al 2023;Lupu et al 2021;Lucas and Allen 2022) and Theory of Mind (ToM) (Hu et al 2021a;Wu et al 2021;Wang et al 2022b) to facilitate adaptive policy development for coordinating with various counterparts without prior coordination experience. However, these ZSC methods demand significant computational resources for data collection and model optimization, and the resulting policies often lack interpretability.…”

Section: Related Workmentioning

confidence: 99%

Against the Holistic Temptations

Zhang

2018

Peking University Law Journal

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The event streams generated by dynamic vision sensors (DVS) are sparse and non-uniform in the spatial domain, while still dense and redundant in the temporal domain. Although spiking neural network (SNN), the event-driven neuromorphic model, has the potential to extract spatio-temporal features from the event streams, it is not effective and efficient. Based on the above, we propose an events sparsification spiking framework dubbed as Razor SNN, pruning pointless event frames progressively. Concretely, we extend the dynamic mechanism based on the global temporal embeddings, reconstruct the features, and emphasize the events effect adaptively at the training stage. During the inference stage, eliminate fruitless frames hierarchically according to a binary mask generated by the trained temporal embeddings. Comprehensive experiments demonstrate that our Razor SNN achieves competitive performance consistently on four events-based benchmarks: DVS 128 Gesture, N-Caltech 101, CIFAR10-DVS and SHD.

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Section: Related Workmentioning

confidence: 99%

Against the Holistic Temptations

Zhang

2018

Peking University Law Journal

View full text Add to dashboard Cite

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Architecture of Individuation Web-Learning Based on Multi-agent

Cited by 1 publication

References 4 publications

Against the Holistic Temptations

Against the Holistic Temptations

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