Design of Cooperative Interaction between Humans and AI Creatures through Reinforcement Learning
Ryosuke Takata, Yugo Takeuchi · 2019
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.