arXiv 1911.005842019-11-01cs.ROcs.AIcs.LGcs.MA

A Perceived Environment Design using a Multi-Modal Variational Autoencoder for learning Active-Sensing

Bielefeld University（比勒费尔德大学）；Australian Centre for Robotic Vision（澳大利亚机器人视觉中心）；Queensland University of Technology（昆士兰科技大学）

Timo Korthals, Malte Schilling, Jürgen Leitner

备注：: Extended Abstract for the IROS 2019 Workshop on Deep Probabilistic Generative Models for Cognitive Architecture in Robotics

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英文摘要：

This contribution comprises the interplay between a multi-modal variational autoencoder and an environment to a perceived environment, on which an agent can act. Furthermore, we conclude our work with a comparison to curiosity-driven learning.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。