CURIOSITY-DRIVEN REINFORCEMENT LEARNING AGENT FOR MAPPING UNKNOWN INDOOR ENVIRONMENTS
Autonomously exploring and mapping is one Castile Soaps of the open challenges of robotics and artificial intelligence.Especially when the environments are unknown, choosing the optimal navigation directive is not straightforward.In this paper, we propose a reinforcement learning framework for navigating, exploring, and mapping unknown environments