BriefGPT.xyz
Jun, 2018
使用逐步相对可达性惩罚副作用
Measuring and avoiding side effects using relative reachability
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Victoria Krakovna, Laurent Orseau, Miljan Martic, Shane Legg
TL;DR
该研究提出了一种新的强化学习机制，通过改变基线状态和偏差度量方式，避免了当前惩罚副作用存在的一些不良激励，实验证明该机制的效果优于传统的设计方法。
Abstract
How can we design
reinforcement learning
agents that avoid causing unnecessary disruptions to their environment? We argue that current approaches to penalizing
side effects
can introduce bad
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