arXiv:1811.07745 공식 코드 · Papers with Code

Reinforcement Learning with A* and a Deep Heuristic

Ariel Keselman, Sergey Ten, Adham Ghazali, Majed Jubeh

제출 2018-11-19

원문 초록

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.

함께 살펴볼 논문

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논문 ID: publication/3491416공통 태그 reinforcement-learning, Reinforcement Learning, Reinforcement Learning (RL), Q-Learning 등록 2021-02-01

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논문 ID: hash/7744129공통 태그 reinforcement-learning, Reinforcement Learning, Reinforcement Learning (RL), Q-Learning 등록 2020-12-01

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