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Energy-Efficient Path Planning in Winter Conditions: A Comparative Study of Traditional Baseline, Q-learning, and Proximal Policy Optimization in a Grid World Environment

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Authors: Sheng-Jui Yu

Published: 08 May 2026

Issue: Volume 2, Issue 2

Topics: artificial intelligence & machine learning computer science

Keywords:energy-efficient path planning Markov decision processes (MDP)grid-world navigation autonomous navigation policy-gradient methods proximal policy optimization (PPO)Q-learning reinforcement learning

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Convergence Journal 2026