Machine ethics is the field that studies how ethical behaviour can be accomplished by autonomous systems. While there exist some systematic reviews aiming to consolidate the state of the art in machine ethics prior to 2020, these tend to not include work that uses reinforcement learning agents as entities whose ethical behaviour is to be achieved. The reason for this is that only in the last years we have witnessed an increase in machine ethics studies within reinforcement learning. We present here a systematic review of reinforcement learning for machine ethics and machine ethics within reinforcement learning. Additionally, we highlight trends in terms of ethics specifications, components and frameworks of reinforcement learning, and environments used to result in ethical behaviour. Our systematic review aims to consolidate the work in machine ethics and reinforcement learning thus completing the gap in the state of the art machine ethics landscape

机器伦理是研究如何通过自主系统实现道德行为的领域，本文以系统综述的方式研究了强化学习用于机器伦理和机器伦理中的强化学习，并突出了在伦理规范、强化学习的组成部分和框架以及用于实现道德行为的环境方面的趋势。

强化学习与机器伦理：系统综述