基于双向规划的巴甫洛夫方法偏差模型的强化学习算法

R. Kakooee, M. H. Hamidi Beheshti, Mehdi Keramati
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引用次数: 1

摘要

在巴甫洛夫趋近倾向下,提出了一种双向规划算法。结论:模拟结果与实验结果一致,表明巴甫洛夫偏差的影响可以建模为决策树的修剪。年代
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Developing a Reinforcement Learning Algorithm to Model Pavlovian Approach Bias on Bidirectional Planning
we developed a bidirectional planning algorithm under the Pavlovian approach tendency. Conclusion: The simulation results are consistent with the experimental results and indicate that the effect of Pavlovian bias can be modeled as pruning of decision trees. s
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