Mobile Robot Path Planning in Dynamic Environments through Globally Guided Reinforcement Learning

This repo is the code implementation of this paper: Paper Link
Two methods applied:

1. Q-Learning
2. Deep Q-Learning

Files to Run

• For Q-Learning Implementation run q_learning.py
• For Deep Q Learning, implement run deep_q_learning.py

Wang, Binyu, et al.
Mobile Robot Path Planning in Dynamic Environments through Globally Guided Reinforcement Learning.
2,arXiv, 11 Sept. 2020. arXiv.org,
https://doi.org/10.48550/arXiv.2005.05420.

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