Routine Bandits: Minimizing Regret on Recurring Problems
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2021 |
Saber, Hassan |
Ensemble and Auxiliary Tasks for Data-Efficient Deep Reinforcement Learning
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2021 |
Maulana, Muhammad Rizki |
Periodic Intra-ensemble Knowledge Distillation for Reinforcement Learning
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2021 |
Hong, Zhang-Wei |
Learning to Build High-Fidelity and Robust Environment Models
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2021 |
Zhang, Weinan |
Multi-agent Imitation Learning with Copulas
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2021 |
Wang, Hongwei |
Model-Based Offline Policy Optimization with Distribution Correcting Regularization
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2021 |
Shen, Jian |
Unsupervised Task Clustering for Multi-task Reinforcement Learning
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2021 |
Ackermann, Johannes |
Explainable Online Deep Neural Network Selection Using Adaptive Saliency Maps for Time Series Forecasting
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2021 |
Saadallah, Amal |
Estimating the Electrical Power Output of Industrial Devices with End-to-End Time-Series Classification in the Presence of Label Noise
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2021 |
Castellani, Andrea |
Multi-task Learning Curve Forecasting Across Hyperparameter Configurations and Datasets
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2021 |
Jawed, Shayan |
Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query Shift
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2021 |
Bennequin, Etienne |
Unifying Domain Adaptation and Domain Generalization for Robust Prediction Across Minority Racial Groups
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2021 |
Khoshnevisan, Farzaneh |
Rumour Detection via Zero-Shot Cross-Lingual Transfer Learning
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2021 |
Tian, Lin |
Ensemble of Local Decision Trees for Anomaly Detection in Mixed Data
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2021 |
Aryal, Sunil |
Topological Anomaly Detection in Dynamic Multilayer Blockchain Networks
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2021 |
Ofori-Boateng, D. |
High-Probability Kernel Alignment Regret Bounds for Online Kernel Selection
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2021 |
Liao, Shizhong |
Disagreement Options: Task Adaptation Through Temporally Extended Actions
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2021 |
Hutsebaut-Buysse, Matthias |
Dropout’s Dream Land: Generalization from Learned Simulators to Reality
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2021 |
Wellmer, Zac |
Goal Modelling for Deep Reinforcement Learning Agents
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2021 |
Leung, Jonathan |
Deviation-Based Marked Temporal Point Process for Marker Prediction
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2021 |
Chauhan, Anand Vir Singh |