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LISPR: An Options Framework for Policy Reuse with Reinforcement Learning.

, , и . CoRR, (2020)

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Andrew Graves

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Daniel Dirkmann

In-vitro-Untersuchungen zum Effekt von Hypothermie und Azidose auf Variablen thrombelastometrischer Messungen der Blutgerinnung. Uni Duisburg-Essen, (2009)
 

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Proximity fuzzy clustering and its application to time series clustering and prediction., и . ISDA, стр. 49-54. IEEE, (2010)Perception as prediction using general value functions in autonomous driving applications., , и . CoRR, (2020)Kernel-based fuzzy clustering and fuzzy clustering: A comparative experimental study., и . Fuzzy Sets Syst., 161 (4): 522-543 (2010)A Clustering-Based Graph Laplacian Framework for Value Function Approximation in Reinforcement Learning., , , и . IEEE Trans. Cybern., 44 (12): 2613-2625 (2014)SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving., , , , , , , , , и 22 other автор(ы). CoRL, том 155 из Proceedings of Machine Learning Research, стр. 264-285. PMLR, (2020)What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator., , , , , , , , , и 2 other автор(ы). AAAI, стр. 8441-8449. AAAI Press, (2022)Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning., , , , и . AAAI, стр. 3741-3748. AAAI Press, (2020)Efficient decorrelation of features using Gramian in Reinforcement Learning., , и . CoRR, (2019)Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning., , , , и . CoRR, (2019)Performance analysis and optimization for scalable deployment of deep learning models for country-scale settlement mapping on Titan supercomputer., , , , , , , , и . Concurr. Comput. Pract. Exp., (2019)