Atsuko Mutoh

Safe Reinforcement Learning in Continuous State Spaces

2019

In using reinforcement learning [1], [2], there is a problem that states are often provided as continuous rather than discrete values. In this study, we applied continuous state space to reinforcement learning based on the …