paper

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

Simon Hakenes, Tobias Glasmachers

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

Name: Leveraging Topological Maps in Deep Reinforcement Learning for Multi-Object Navigation
Author: Simon Hakenes, Tobias Glasmachers

Simon Hakenes, Tobias Glasmachers

paper2023-10-16English

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Description

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 environments.