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Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning?

, , , и . (2019)cite arxiv:1910.03016.

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Simon S Lee

Marcus Simon

Erstellung und Validierung eines Fragebogens für die Patientenbeurteilung der perioperativen Phase, PPP-Fragebogen. Uni Marburg, (2009)

Christine Simon

Vollblutaggregation beim Hund: Vergleich der Methode nach Born mit einer errechneten Aggregation nach Thrombozytenzählung mittels konventioneller Hämatologiesysteme. Uni Gießen, (2009)

Fei Du

Juan Du

 

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Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks., , , , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 322-332. PMLR, (2019)High-Throughput Robotic Phenotyping of Energy Sorghum Crops., , , , , , , , и . FSR, том 5 из Springer Proceedings in Advanced Robotics, стр. 99-113. Springer, (2017)Few-Shot Learning via Learning the Representation, Provably., , , , и . CoRR, (2020)Scan and Snap: Understanding Training Dynamics and Token Composition in 1-layer Transformer., , , и . CoRR, (2023)Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks., , , , , и . ICLR, OpenReview.net, (2020)Provably Efficient Exploration for RL with Unsupervised Learning., , , , и . CoRR, (2020)Near-Optimal Randomized Exploration for Tabular Markov Decision Processes., , , , и . NeurIPS, (2022)Over-Parameterization Exponentially Slows Down Gradient Descent for Learning a Single Neuron., и . COLT, том 195 из Proceedings of Machine Learning Research, стр. 1155-1198. PMLR, (2023)Fine-Grained Gap-Dependent Bounds for Tabular MDPs via Adaptive Multi-Step Bootstrap., , и . COLT, том 134 из Proceedings of Machine Learning Research, стр. 4438-4472. PMLR, (2021)Planning with General Objective Functions: Going Beyond Total Rewards., , , , и . NeurIPS, (2020)