Learning transferable graph exploration
NettetLearning Transferable Graph Exploration Hanjun Dai, Yujia Li, Chenglong Wang, Rishabh Singh, Po-Sen Huang, Pushmeet Kohli 33rd Conference on Neural … NettetTable 2: Fraction of the mazes covered via different exploration methods. - "Learning Transferable Graph Exploration" Skip to search form Skip to main content Skip to account menu. Semantic Scholar's Logo. Search 207,373,090 papers from all fields of science. Search. Sign ...
Learning transferable graph exploration
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http://nlp.csai.tsinghua.edu.cn/documents/71/NeurIPS-2024-graph-policy-network-for-transferable-active-learning-on-graphs-Paper.pdf NettetGraph Policy Network for Transferable Active Learning on Graphs Shengding Hu 1, Zheng Xiong , Meng Qu2,5, Xingdi Yuan3, Marc-Alexandre Côté3, Zhiyuan Liu1, and Jian Tang2,4,6 1Tsinghua University, 2Mila-Quebec AI Institute, 3Microsoft Research 4HEC Montreal, Canada, 5Université de Montréal, 6CIFAR AI Research Chair …
Nettet10. jun. 2024 · Self-supervised learning on graph-structured data has drawn recent interest for learning generalizable, transferable and robust representations from … NettetLearning Transferable Graph Exploration: The paper is concerned with learning a general exploration policy, trained using reinforcement learning and considering a distribution of graph-structured environments. A motivating application is coverage-guided program testing (fuzzing).
NettetYear Venue Model Title Algorithm Paper Code; 2024: NeurIPS: GMETAEXP: Learning Transferable Graph Exploration: MDP: Paper \ 2024: arXiv: Ekar: Ekar: An … NettetWe formulate this task as a reinforcement learning problem where the exploration' agent is rewarded for transitioning to previously unseen environment states and employ a …
NettetTransferable Graph Optimizers for ML Compilers by Yanqi Zhou et al., NeurIPS 2024 FusionStitching: Boosting Memory IntensiveComputations for Deep Learning Workloads by Zhen Zheng et al., arXiv 2024 Nimble: Lightweight and Parallel GPU Task Scheduling for Deep Learning by Woosuk Kwon et al., Neurips 2024
NettetPDF - This paper considers the problem of efficient exploration of unseen environments, a key challenge in AI. We propose a `learning to explore' framework where we learn a policy from a distribution of environments. At test time, presented with an unseen environment from the same distribution, the policy aims to generalize the exploration … nirvana t-shirts for saleNettetFigure 1: Overview of our meta exploration model for exploring a known but complicated graph structured environment. The GGNN [15] module captures the graph structures … number to words ringgit malaysiaNettet28. okt. 2024 · This paper considers the problem of efficient exploration of unseen environments, a key challenge in AI. We propose a `learning to explore' framework where we learn a policy from a distribution of environments. At test time, presented with an unseen environment from the same distribution, the policy aims to generalize the … nirvana t shirts goaNettet30. mai 2024 · This paper studies the problem of autonomous exploration under localization uncertainty for a mobile robot with 3D range sensing. We present a framework for self-learning a high-performance exploration policy in a single simulation environment, and transferring it to other environments, which may be physical or virtual. Recent work … nirvana t shirts targetNettetFigure 9: Example App graphs for exploration experiment. Graphs in the top row are random synthetic ones, while graphs in the bottom row are collected from real-world Android Apps. Each node represent a screen, where the red node is the start screen. - "Learning Transferable Graph Exploration" nirvana t shirt outfitsNettetLearning Compositional Neural Programs with Recursive Tree Search and Planning. Thomas Pierrot *, Guillaume Ligner *, Scott Reed, Olivier Sigaud *, Nicolas Perrin *, Alexandre Laterre *, David Kas *, Karim Beguir *, Nando de … nirvana turnaround lyricsNettetGraph Policy Network for Transferable Active Learning on Graphs Shengding Hu 1, Zheng Xiong , Meng Qu2,5, Xingdi Yuan3, Marc-Alexandre Côté3, Zhiyuan Liu1, and … number toys for toddlers