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Evolution of reinforcement learning in uncertain environments: A simple explanation for complex foraging behaviors

机译：不确定环境中强化学习的演变：对复杂觅食行为的简单解释

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Yael Niv; Daphna Joel; Isaac Meilijson;
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年度 2002
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1. Evolution of reinforcement learning in foraging bees: a simple explanation for risk averse behavior [J] . Yael Niv, Daphna Joel, Isaac Meilijson Neurocomputing . 2002,第期

机译：觅食蜜蜂强化学习的演变：风险规避行为的简单解释
2. Behavior acquisition of an autonomous robot by reinforcement learning based on globally coupled chaotic system (2nd report, learning navigational behaviors in dynamic environment) [J] . Yoichiro Nakamura, Kazuhiro Ohkura, Kanji Ueda 日本機械学会論文集. C編 . 1997,第615期

机译：通过基于全局耦合混沌系统的强化学习获得自主机器人的行为（第二份报告，学习动态环境中的导航行为）
3. A recurrent reinforcement learning approach applicable to highly uncertain environments [J] . Yang Li, Shijie Guo, Lishuang Zhu, International Journal of Advanced Robotic Systems . 2020,第2期

机译：一种适用于高度不确定环境的经常性强化学习方法
4. Evolution of reinforcement learning in foraging bees: a simple explanation for risk averse behavior [C] . Yael Niv, Daphna Joel, Isaac Meilijson, Computational neuroscience meeting . 2002

机译：觅食蜜蜂加固学习的演变：风险厌恶行为的简单解释
5. Adaptive sensing in uncertain environments: Maximum likelihood, sensor networks, and reinforcement learning. [D] . Blatt, Doron. 2006

机译：不确定环境中的自适应感测：最大可能性，传感器网络和强化学习。
6. Shifting Responsibly: The Importance of Striatal Modularity to Reinforcement Learning in Uncertain Environments [O] . Ken-ichi Amemori, Leif G. Gibb, Ann M. Graybiel 2011

机译：负责任地转变：在不确定环境中纹状体模块对强化学习的重要性
7. Evolution of Reinforcement Learning in Uncertain Environments: Emergence of Risk-Aversion and Matching [O] . Yael Niv, Daphna Joel, Isaac Meilijson, 2001

机译：不确定环境中强化学习的演变：风险规避和匹配的出现

Evolution of reinforcement learning in uncertain environments: A simple explanation for complex foraging behaviors

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