A* Search Without Expansions: Learning Heuristic Functions with Deep
Q-Networks

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A* Search Without Expansions: Learning Heuristic Functions with Deep Q-Networks

8 February 2021

Forest Agostinelli

Alexander Shmakov

Stephen Marcus McAleer

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Papers citing "A* Search Without Expansions: Learning Heuristic Functions with Deep Q-Networks"

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Title
Quantum Compiling with Reinforcement Learning on a Superconducting Processor Z. T. Wang Qiuhao Chen Yuxuan Du Z. H. Yang Xiaoxia Cai ... Huikai Xu Yirong Jin Ruixia Wang Haifeng Yu S. P. Zhao 67 3 0 18 Jun 2024
Reinforcement Learning from Diffusion Feedback: Q* for Image Search Aboli Rajan Marathe VLM 93 0 0 27 Nov 2023
Learning Local Heuristics for Search-Based Navigation Planning Rishi Veerapaneni Muhammad Suhail Saleem Maxim Likhachev 23 2 0 16 Mar 2023
ASP: Learn a Universal Neural Solver! Chenguang Wang Zhouliang Yu Stephen Marcus McAleer Tianshu Yu Yao-Chun Yang AAML 114 26 0 01 Mar 2023
Graph Value Iteration Dieqiao Feng Carla P. Gomes B. Selman 49 0 0 20 Sep 2022
The (Un)Scalability of Heuristic Approximators for NP-Hard Search Problems Sumedh Pendurkar Taoan Huang Sven Koenig Guni Sharon 48 1 0 07 Sep 2022
Non-Blocking Batch A* (Technical Report) Rishi Veerapaneni Maxim Likhachev 34 1 0 15 Aug 2022
Efficient and practical quantum compiler towards multi-qubit systems with deep reinforcement learning Qiuhao Chen Yuxuan Du Qi Zhao Yuliang Jiao Xiliang Lu Xingyao Wu 59 13 0 14 Apr 2022
Equivariant neural networks for recovery of Hadamard matrices A. Peres E. Dias Luís Sarmento Hugo Penedones 33 0 0 31 Jan 2022
Exploiting Learned Policies in Focal Search Pablo Araneda M. Greco Jorge A. Baier 61 7 0 21 Apr 2021