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A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning.

, , , , , и . NeurIPS, стр. 1569-1581. (2021)

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Shandong Luan

Xiaojun Luan

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Xuming Luan

 

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Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks., , , и . NeurIPS, стр. 10943-10953. (2019)When Do We Need Graph Neural Networks for Node Classification?, , , , , и . COMPLEX NETWORKS (1), том 1141 из Studies in Computational Intelligence, стр. 37-48. Springer, (2023)Representation Learning on Heterophilic Graph with Directional Neighborhood Attention., , , и . CoRR, (2024)A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning., , , , , и . NeurIPS, стр. 1569-1581. (2021)MUDiff: Unified Diffusion for Complete Molecule Generation., , , , , , и . LoG, том 231 из Proceedings of Machine Learning Research, стр. 33. PMLR, (2023)GCEPNet: Graph Convolution-Enhanced Expectation Propagation for Massive MIMO Detection., , и . CoRR, (2024)Revisiting Heterophily For Graph Neural Networks., , , , , , , и . NeurIPS, (2022)META-Learning State-based Eligibility Traces for More Sample-Efficient Policy Evaluation., , , , и . AAMAS, стр. 1647-1655. International Foundation for Autonomous Agents and Multiagent Systems, (2020)Training Matters: Unlocking Potentials of Deeper Graph Convolutional Neural Networks., , , и . COMPLEX NETWORKS (1), том 1141 из Studies in Computational Intelligence, стр. 49-60. Springer, (2023)