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Updated: Jun 20, 2026

Recording Single Neurons' Action Potentials from Freely Moving Pigeons Across Three Stages of Learning
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Recording Single Neurons' Action Potentials from Freely Moving Pigeons Across Three Stages of Learning

Published on: June 2, 2014

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庞特里亚金的最低原则指导的RL用于时空领域的最小时间探索

Zhuo Li, Jian Sun, Antonio G Marques

    IEEE transactions on neural networks and learning systems
    |April 9, 2024
    PubMed
    概括

    本研究引入了用于自动驾驶汽车轨迹规划的无模型强化学习 (RL) 方法. 通过整合Pontryagin的方式.

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    In 1905, Albert Einstein published his special theory of relativity. According to this theory, no matter in the universe can attain a speed greater than the speed of light in a vacuum, which thus serves as the speed limit of the universe.
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    Modern aerospace navigation depends on the accurate prediction of motion in three-dimensional space. In defense applications, radar systems continuously track both interceptors and moving aerial targets to find whether their flight paths will result in a collision. These motions are modeled mathematically as space curves, which represent paths that change continuously with time. Each object’s position is described by a vector function that specifies its location in terms of time-dependent...