| 1 |
RL-MUL 2.0: Multiplier Design Optimization with Parallel Deep Reinforcement Learning and Space Reduction |
提出RL-MUL 2.0以优化乘法器设计问题 |
reinforcement learning deep reinforcement learning |
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| 2 |
Variational Autoencoders for exteroceptive perception in reinforcement learning-based collision avoidance |
提出变分自编码器以解决强化学习中的碰撞避免问题 |
reinforcement learning deep reinforcement learning DRL |
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| 3 |
DailyMAE: Towards Pretraining Masked Autoencoders in One Day |
提出高效的Masked Autoencoders预训练方法以解决计算资源不足问题 |
masked autoencoder MAE |
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| 4 |
Learning Off-policy with Model-based Intrinsic Motivation For Active Online Exploration |
提出基于模型的内在动机以实现高效在线探索 |
reinforcement learning deep reinforcement learning policy learning |
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| 5 |
Solving the QAP by Two-Stage Graph Pointer Networks and Reinforcement Learning |
提出两阶段图指针网络解决二次分配问题 |
reinforcement learning deep reinforcement learning |
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| 6 |
HeteroMILE: a Multi-Level Graph Representation Learning Framework for Heterogeneous Graphs |
提出HeteroMILE以解决异构图嵌入计算复杂性问题 |
representation learning |
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| 7 |
Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning |
提出基于效用的扰动梯度下降以解决持续学习中的遗忘问题 |
reinforcement learning PPO representation learning |
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| 8 |
Utilizing Maximum Mean Discrepancy Barycenter for Propagating the Uncertainty of Value Functions in Reinforcement Learning |
提出MMD-QL以改进强化学习中的价值函数不确定性传播 |
reinforcement learning |
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| 9 |
HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs |
提出HypeBoy以解决超图表示学习中的生成自监督问题 |
representation learning |
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