Goto

Collaborating Authors

 leveraging topological map


Leveraging Topological Maps in Deep Reinforcement Learning for Multi-Object Navigation

arXiv.org Artificial Intelligence

This work addresses the challenge of navigating expansive spaces with sparse rewards through Reinforcement Learning (RL). Using topological maps, we elevate elementary actions to object-oriented macro actions, enabling a simple Deep Q-Network (DQN) agent to solve otherwise practically impossible Figure 1: Screenshots of the environment.