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arXiv · 1811.07745

Reinforcement Learning with A* and a Deep Heuristic

Ariel Keselman·Sergey Ten·Adham Ghazali·Majed Jubeh
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Abstract

A* is a popular path-finding algorithm, but it can only be applied to those domains where a good heuristic function is known. Inspired by recent methods combining Deep Neural Networks (DNNs) and trees, this study demonstrates how to train a heuristic represented by a DNN and combine it with A*. This new algorithm which we call aleph-star can be used efficiently in domains where the input to the heuristic could be processed by a neural network. We compare aleph-star to N-Step Deep Q-Learning (DQN Mnih et al. 2013) in a driving simulation with pixel-based input, and demonstrate significantly better performance in this scenario.

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Ariel Keselman, Sergey Ten, Adham Ghazali, Majed Jubeh. 2018-11-19. Reinforcement Learning with A* and a Deep Heuristic. https://arxiv.org/abs/1811.07745

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