leveraging topological map
Leveraging Topological Maps in Deep Reinforcement Learning for Multi-Object Navigation
Hakenes, Simon, Glasmachers, Tobias
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.