Design of Cooperative Interaction between Humans and AI Creatures through Reinforcement Learning

Ryosuke Takata, Yugo Takeuchi
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Abstract

Currently, it is difficult for humans and AI agents to cooperate because the agent has incomplete intention understanding. In this paper, we propose the design of cooperative interaction between humans and AI creatures. As an experiment, two creatures learned to lift a heavy box in a virtual environment simultaneously. As a result, one of the creatures was able acquire the behavior of following the other creature automatically. We need to verify whether cooperation between humans and AI can be established through ongoing investigations.
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基于强化学习的人与人工智能生物合作交互设计
目前,由于智能体对意图的理解不完全,人类和人工智能智能体很难进行合作。在本文中,我们提出了人类与人工智能生物之间的合作交互设计。作为一项实验,两个生物学会了在虚拟环境中同时举起一个沉重的盒子。结果,其中一种生物能够自动获得跟随另一种生物的行为。我们需要通过正在进行的调查来验证人类和人工智能之间是否能够建立合作关系。
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